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Ruqiang Yan, Ph.D. - Publications

Affiliations: 
2007 Mechanical Engineering University of Massachusetts, Amherst, Amherst, MA 
Area:
Mechanical Engineering
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155 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Chen Y, Zhang D, Yan R. Domain Adaptation Networks With Parameter-Free Adaptively Rectified Linear Units for Fault Diagnosis Under Variable Operating Conditions. Ieee Transactions On Neural Networks and Learning Systems. PMID 37549092 DOI: 10.1109/TNNLS.2023.3298648  0.31
2022 Li T, Sun C, Li S, Wang Z, Chen X, Yan R. Explainable Graph Wavelet Denoising Network for Intelligent Fault Diagnosis. Ieee Transactions On Neural Networks and Learning Systems. PMID 37015709 DOI: 10.1109/TNNLS.2022.3230458  0.333
2022 Li Y, Zhou Z, Sun C, Chen X, Yan R. Variational Attention-Based Interpretable Transformer Network for Rotary Machine Fault Diagnosis. Ieee Transactions On Neural Networks and Learning Systems. PMID 36094988 DOI: 10.1109/TNNLS.2022.3202234  0.341
2020 Zhao Z, Li T, Wu J, Sun C, Wang S, Yan R, Chen X. Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study. Isa Transactions. PMID 32854956 DOI: 10.1016/J.Isatra.2020.08.010  0.328
2020 Shen F, Chen C, Xu J, Yan R. A Fast Multi-tasking Solution: NMF-Theoretic Co-clustering for Gear Fault Diagnosis under Variable Working Conditions Chinese Journal of Mechanical Engineering. 33: 1-15. DOI: 10.1186/S10033-020-00437-3  0.388
2020 Shen F, Langari R, Yan R. Exploring Sample/Feature Hybrid Transfer for Gear Fault Diagnosis Under Varying Working Conditions Journal of Computing and Information Science in Engineering. 20. DOI: 10.1115/1.4046337  0.34
2020 Zhao J, Wang H, Zhao J, Pan Z, Yan R. Precise Positioning of Linear Motor Mover Directly From the Phase Difference Analysis Ieee-Asme Transactions On Mechatronics. 25: 1566-1577. DOI: 10.1109/Tmech.2020.2980078  0.326
2020 Chen C, Shen F, Xu J, Yan R. Domain Adaptation Based Transfer Learning for Gear Fault Diagnosis under Varying Working Conditions Ieee Transactions On Instrumentation and Measurement. 1-1. DOI: 10.1109/Tim.2020.3011584  0.35
2020 Ragab M, Chen Z, Wu M, Li H, Kwoh C, Yan R, Li X. Adversarial Multiple-Target Domain Adaptation for Fault Classification Ieee Transactions On Instrumentation and Measurement. 1-1. DOI: 10.1109/Tim.2020.3009341  0.327
2020 Huo Z, Martinez-Garcia M, Zhang Y, Yan R, Shu L. Entropy Measures in Machine Fault Diagnosis: Insights and Applications Ieee Transactions On Instrumentation and Measurement. 69: 2607-2620. DOI: 10.1109/Tim.2020.2981220  0.404
2020 Wu S, Russhard P, Yan R, Tian S, Wang S, Zhao Z, Chen X. An Adaptive Online Blade Health Monitoring Method: From Raw Data to Parameters Identification Ieee Transactions On Instrumentation and Measurement. 69: 2581-2592. DOI: 10.1109/Tim.2020.2967111  0.379
2020 Wang H, Xu J, Yan R, Gao RX. A New Intelligent Bearing Fault Diagnosis Method Using SDP Representation and SE-CNN Ieee Transactions On Instrumentation and Measurement. 69: 2377-2389. DOI: 10.1109/Tim.2019.2956332  0.551
2020 Chen C, Shen F, Xu J, Yan R. Probabilistic Latent Semantic Analysis-Based Gear Fault Diagnosis Under Variable Working Conditions Ieee Transactions On Instrumentation and Measurement. 69: 2845-2857. DOI: 10.1109/Tim.2019.2925410  0.424
2020 Shao S, Yan R, Lu Y, Wang P, Gao RX. DCNN-Based Multi-Signal Induction Motor Fault Diagnosis Ieee Transactions On Instrumentation and Measurement. 69: 2658-2669. DOI: 10.1109/Tim.2019.2925247  0.622
2020 Sun C, Chen X, Yan R, Gao RX. Composite-Graph-Based Sparse Subspace Clustering for Machine Fault Diagnosis Ieee Transactions On Instrumentation and Measurement. 69: 1850-1859. DOI: 10.1109/Tim.2019.2923829  0.538
2020 Hou B, Yan R. Convolutional Autoencoder Model for Finger-Vein Verification Ieee Transactions On Instrumentation and Measurement. 69: 2067-2074. DOI: 10.1109/Tim.2019.2921135  0.342
2020 Hou B, Yang J, Wang P, Yan R. LSTM-Based Auto-Encoder Model for ECG Arrhythmias Classification Ieee Transactions On Instrumentation and Measurement. 69: 1232-1240. DOI: 10.1109/Tim.2019.2910342  0.408
2020 Zhao D, Cheng W, Gao RX, Yan R, Wang P. Generalized Vold–Kalman Filtering for Nonstationary Compound Faults Feature Extraction of Bearing and Gear Ieee Transactions On Instrumentation and Measurement. 69: 401-410. DOI: 10.1109/Tim.2019.2903700  0.613
2020 Zhao Z, Wang S, Sun C, Yan R, Chen X. Sparse Multiperiod Group Lasso for Bearing Multifault Diagnosis Ieee Transactions On Instrumentation and Measurement. 69: 419-431. DOI: 10.1109/Tim.2019.2902807  0.41
2020 Wu J, Zhao Z, Sun C, Yan R, Chen X. Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection Ieee Transactions On Industrial Informatics. 1-1. DOI: 10.1109/Tii.2020.2976752  0.432
2020 Shen F, Hui Y, Yan R, Sun C, Xu J. A New Penalty Domain Selection Machine Enabled Transfer Learning for Gearbox Fault Recognition Ieee Transactions On Industrial Electronics. 67: 8743-8754. DOI: 10.1109/Tie.2020.2988229  0.418
2020 Yan R, Nandi A, Wang P, Li W. Guest Editorial Special Issue on Smart Sensing and Artificial Intelligence-Enabled Data Analytics for Health Monitoring of Engineering Systems Ieee Sensors Journal. 20: 8203-8203. DOI: 10.1109/Jsen.2020.3000842  0.314
2020 Li T, Zhao Z, Sun C, Yan R, Chen X. Adaptive Channel Weighted CNN With Multisensor Fusion for Condition Monitoring of Helicopter Transmission System Ieee Sensors Journal. 20: 8364-8373. DOI: 10.1109/Jsen.2020.2980596  0.314
2020 Yan R, Shen F, Sun C, Chen X. Knowledge Transfer for Rotary Machine Fault Diagnosis Ieee Sensors Journal. 20: 8374-8393. DOI: 10.1109/Jsen.2019.2949057  0.362
2020 An B, Wang S, Yan R, Li W, Chen X. Generalized Gaussian Noise Distribution Enabled Sparse Representation Model for Bearing Fault Diagnosis The Journal of Thoracic and Cardiovascular Surgery. 1-5. DOI: 10.1109/I2Mtc43012.2020.9129514  0.345
2020 Shen F, Chen C, Xu J, Gao RX, Yan R. A Two-Order Transfer Model for Gearbox Fault Diagnosis The Journal of Thoracic and Cardiovascular Surgery. 1-6. DOI: 10.1109/I2Mtc43012.2020.9129278  0.551
2020 Wang Z, Yang Z, Wu S, Li H, Yan R, Tian S, Zhang X, Chen X. An OPR-free Blade Tip Timing Method Based on Blade Spacing Change The Journal of Thoracic and Cardiovascular Surgery. 1-5. DOI: 10.1109/I2Mtc43012.2020.9129036  0.361
2020 Wu S, Wang Z, Li H, Yang Z, Tian S, Yan R, Wang S, Chen X. A Hybrid Fault Diagnosis Approach for Blade Crack Detection using Blade Tip Timing The Journal of Thoracic and Cardiovascular Surgery. 1-5. DOI: 10.1109/I2Mtc43012.2020.9128407  0.423
2020 Yang L, Liu J, Zhang Q, Yan R, Chen X. Frequency domain spline adaptive filters Signal Processing. 177: 107752. DOI: 10.1016/J.Sigpro.2020.107752  0.315
2020 Li C, Mo L, Tang H, Yan R. Lifelong Condition Monitoring Based on NB-IoT for Anomaly Detection of Machinery Equipment Procedia Manufacturing. 49: 144-149. DOI: 10.1016/J.Promfg.2020.07.010  0.401
2020 Wang H, Xu J, Yan R, Sun C, Chen X. Intelligent Bearing Fault Diagnosis Using Multi-Head Attention-Based CNN Procedia Manufacturing. 49: 112-118. DOI: 10.1016/J.Promfg.2020.07.005  0.423
2020 Wu J, Zhao Z, Sun C, Yan R, Chen X. Ss-InfoGAN for Class-Imbalance Classification of Bearing Faults Procedia Manufacturing. 49: 99-104. DOI: 10.1016/J.Promfg.2020.07.003  0.378
2020 Li T, Zhao Z, Sun C, Yan R, Chen X. Multi-scale CNN for Multi-sensor Feature Fusion in Helical Gear Fault Detection Procedia Manufacturing. 49: 89-93. DOI: 10.1016/J.Promfg.2020.07.001  0.38
2020 Shen Z, Qiao B, Yang L, Luo W, Yan R, Chen X. Dynamic modeling of planetary gear set with tooth surface wear Procedia Manufacturing. 49: 49-54. DOI: 10.1016/J.Promfg.2020.06.010  0.334
2020 Wu J, Zhao Z, Sun C, Yan R, Chen X. Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine Measurement. 166: 108202. DOI: 10.1016/J.Measurement.2020.108202  0.363
2020 Shen F, Langari R, Yan R. Transfer between multiple machine plants: A modified fast self-organizing feature map and two-order selective ensemble based fault diagnosis strategy Measurement. 151: 107155. DOI: 10.1016/J.Measurement.2019.107155  0.365
2019 Liu J, Xu M, Zhang X, Yan R, Chen X. Fast multiline spectral reshaping algorithm for active vibration control Journal of Low Frequency Noise Vibration and Active Control. 146134841988674. DOI: 10.1177/1461348419886745  0.312
2019 Dai P, Yang Y, Wang M, Yan R. Combination of DNN and Improved KNN for Indoor Location Fingerprinting Wireless Communications and Mobile Computing. 2019: 1-9. DOI: 10.1155/2019/4283857  0.31
2019 Liu J, Yang L, Zhang X, Yan R, Chen X. Intelligent Time-Domain Parameters Matching for Shock Response Spectrum and Its Experimental Validation in Active Vibration Control Systems Shock and Vibration. 2019: 1-16. DOI: 10.1155/2019/2920845  0.347
2019 Lu S, Yan R, Liu Y, Wang Q. Tacholess Speed Estimation in Order Tracking: A Review With Application to Rotating Machine Fault Diagnosis Ieee Transactions On Instrumentation and Measurement. 68: 2315-2332. DOI: 10.1109/Tim.2019.2902806  0.436
2019 Ma M, Sun C, Chen X, Zhang X, Yan R. A Deep Coupled Network for Health State Assessment of Cutting Tools Based on Fusion of Multisensory Signals Ieee Transactions On Industrial Informatics. 15: 6415-6424. DOI: 10.1109/Tii.2019.2912428  0.428
2019 Sun C, Ma M, Zhao Z, Tian S, Yan R, Chen X. Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing Ieee Transactions On Industrial Informatics. 15: 2416-2425. DOI: 10.1109/Tii.2018.2881543  0.33
2019 Shao S, McAleer S, Yan R, Baldi P. Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning Ieee Transactions On Industrial Informatics. 15: 2446-2455. DOI: 10.1109/Tii.2018.2864759  0.447
2019 Wu S, Chen X, Russhard P, Yan R, Tian S, Wang S, Zhao Z. Blade Tip Timing: from Raw Data to Parameters Identification The Journal of Thoracic and Cardiovascular Surgery. 1-5. DOI: 10.1109/I2Mtc.2019.8827170  0.341
2019 Wang H, Xu J, Yan R. Bearing Fault Diagnosis Based on Visual Symmetrized Dot Pattern and CNNs The Journal of Thoracic and Cardiovascular Surgery. 1-6. DOI: 10.1109/I2Mtc.2019.8827101  0.429
2019 Wang P, Hou B, Shao S, Yan R. ECG Arrhythmias Detection Using Auxiliary Classifier Generative Adversarial Network and Residual Network Ieee Access. 7: 100910-100922. DOI: 10.1109/Access.2019.2930882  0.36
2019 Liu J, Qiao B, Zhang X, Yan R, Chen X. Adaptive vibration control on electrohydraulic shaking table system with an expanded frequency range: Theory analysis and experimental study Mechanical Systems and Signal Processing. 132: 122-137. DOI: 10.1016/J.Ymssp.2019.06.024  0.304
2019 Li D, Cao H, Zhang X, Chen X, Yan R. Model predictive control based active chatter control in milling process Mechanical Systems and Signal Processing. 128: 266-281. DOI: 10.1016/J.Ymssp.2019.03.047  0.304
2019 Wang C, Zhang X, Liu J, Yan R, Cao H, Chen X. Multi harmonic and random stiffness excitation for milling chatter suppression Mechanical Systems and Signal Processing. 120: 777-792. DOI: 10.1016/J.Ymssp.2018.11.019  0.359
2019 Zhao R, Yan R, Chen Z, Mao K, Wang P, Gao RX. Deep learning and its applications to machine health monitoring Mechanical Systems and Signal Processing. 115: 213-237. DOI: 10.1016/J.Ymssp.2018.05.050  0.57
2019 Sun C, Wang P, Yan R, Gao RX, Chen X. Machine health monitoring based on locally linear embedding with kernel sparse representation for neighborhood optimization Mechanical Systems and Signal Processing. 114: 25-34. DOI: 10.1016/J.Ymssp.2018.04.044  0.57
2019 Zhang J, Wang P, Gao RX, Sun C, Yan R. Induction Motor Condition Monitoring for Sustainable Manufacturing Procedia Manufacturing. 33: 802-809. DOI: 10.1016/J.Promfg.2019.04.101  0.585
2019 Wang C, Zhang X, Yan R, Chen X, Cao H. Multi harmonic spindle speed variation for milling chatter suppression and parameters optimization Precision Engineering-Journal of the International Societies For Precision Engineering and Nanotechnology. 55: 268-274. DOI: 10.1016/J.Precisioneng.2018.09.017  0.333
2019 Shen F, Xu J, Sun C, Chen X, Yan R. Transfer between multiple working conditions: A new TCCHC-based exponential semi-deterministic extended Kalman filter for bearing remaining useful life prediction Measurement. 142: 148-162. DOI: 10.1016/J.Measurement.2019.04.074  0.315
2019 Song L, Yan R. Bearing fault diagnosis based on Cluster-contraction Stage-wise Orthogonal-Matching-Pursuit Measurement. 140: 240-253. DOI: 10.1016/J.Measurement.2019.03.061  0.372
2019 Yan R, Chen X, Wang P, Onchis DM. Deep learning for fault diagnosis and prognosis in manufacturing systems Computers in Industry. 110: 1-2. DOI: 10.1016/J.Compind.2019.05.002  0.336
2019 Shao S, Wang P, Yan R. Generative adversarial networks for data augmentation in machine fault diagnosis Computers in Industry. 106: 85-93. DOI: 10.1016/J.Compind.2019.01.001  0.446
2018 Meng J, Zhao L, Shen F, Yan R. Gear fault diagnosis based on recurrence network Journal of Intelligent & Fuzzy Systems. 34: 3651-3660. DOI: 10.3233/Jifs-169540  0.337
2018 Du Z, Chen X, Zhang H, Yan R, Yin W. Learning Collaborative Sparsity Structure via Nonconvex Optimization for Feature Recognition Ieee Transactions On Industrial Informatics. 14: 4417-4430. DOI: 10.1109/Tii.2017.2777144  0.324
2018 Zhao R, Wang D, Yan R, Mao K, Shen F, Wang J. Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks Ieee Transactions On Industrial Electronics. 65: 1539-1548. DOI: 10.1109/Tie.2017.2733438  0.44
2018 Zhao D, Li J, Cheng W, Wang P, Gao RX, Yan R. Vold-Kalman generalized demodulation for multi-faults detection of gear and bearing under variable speeds Procedia Manufacturing. 26: 1213-1220. DOI: 10.1016/J.Promfg.2018.07.157  0.626
2018 Zhang J, Wang P, Gao RX, Yan R. An Image Processing Approach to Machine Fault Diagnosis Based on Visual Words Representation Procedia Manufacturing. 19: 42-49. DOI: 10.1016/J.Promfg.2018.01.007  0.632
2018 Zhang J, Wang P, Yan R, Gao RX. Deep Learning for Improved System Remaining Life Prediction Procedia Cirp. 72: 1033-1038. DOI: 10.1016/J.Procir.2018.03.262  0.522
2018 Zhang J, Wang P, Yan R, Gao RX. Long short-term memory for machine remaining life prediction Journal of Manufacturing Systems. 48: 78-86. DOI: 10.1016/J.Jmsy.2018.05.011  0.571
2017 Shen F, Yan R. Design and Implementation of a Hypothermic Machine Perfusion Device for Clinical Preservation of Isolated Organs. Sensors (Basel, Switzerland). 17. PMID 28587173 DOI: 10.3390/S17061256  0.348
2017 Zhao R, Yan R, Wang J, Mao K. Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks. Sensors (Basel, Switzerland). 17. PMID 28146106 DOI: 10.3390/S17020273  0.39
2017 Zhang X, Gao RX, Yan R, Chen X, Sun C, Yang Z. Analysis of Laminated Plates and Shells Using B-Spline Wavelet on Interval Finite Element International Journal of Structural Stability and Dynamics. 17: 1750062. DOI: 10.1142/S0219455417500626  0.536
2017 Sun W, Zhao R, Yan R, Shao S, Chen X. Convolutional Discriminative Feature Learning for Induction Motor Fault Diagnosis Ieee Transactions On Industrial Informatics. 13: 1350-1359. DOI: 10.1109/Tii.2017.2672988  0.411
2017 Qian Y, Yan R, Gao RX. A multi-time scale approach to remaining useful life prediction in rolling bearing Mechanical Systems and Signal Processing. 83: 549-567. DOI: 10.1016/J.Ymssp.2016.06.031  0.527
2017 Du Z, Chen X, Zhang H, Yang B, Zhai Z, Yan R. Weighted low-rank sparse model via nuclear norm minimization for bearing fault detection Journal of Sound and Vibration. 400: 270-287. DOI: 10.1016/J.Jsv.2017.03.044  0.414
2017 Wang P, Ananya, Yan R, Gao RX. Virtualization and deep recognition for system fault classification Journal of Manufacturing Systems. 44: 310-316. DOI: 10.1016/J.Jmsy.2017.04.012  0.602
2017 Wang P, Gao RX, Yan R. A deep learning-based approach to material removal rate prediction in polishing Cirp Annals. 66: 429-432. DOI: 10.1016/J.Cirp.2017.04.013  0.529
2017 Du Z, Chen X, Zhang H, Zi Y, Yan R. Multiple fault separation and detection by joint subspace learning for the health assessment of wind turbine gearboxes Frontiers of Mechanical Engineering. 12: 333-347. DOI: 10.1007/S11465-017-0435-0  0.395
2017 Shao S, Sun W, Yan R, Wang P, Gao RX. A Deep Learning Approach for Fault Diagnosis of Induction Motors in Manufacturing Chinese Journal of Mechanical Engineering. 30: 1347-1356. DOI: 10.1007/S10033-017-0189-Y  0.606
2016 Zhang X, Wang C, Gao RX, Yan R, Chen X, Wang S. A Novel Hybrid Error Criterion-Based Active Control Method for on-Line Milling Vibration Suppression with Piezoelectric Actuators and Sensors. Sensors (Basel, Switzerland). 16. PMID 26751448 DOI: 10.3390/S16010068  0.675
2016 Qian Y, Yan R. Gearbox Fault Diagnosis in a Wind Turbine Using Single Sensor Based Blind Source Separation Journal of Sensors. 2016. DOI: 10.1155/2016/6971952  0.399
2016 Zhao L, Yu W, Yan R. Gearbox Fault Diagnosis Using Complementary Ensemble Empirical Mode Decomposition and Permutation Entropy Shock and Vibration. 2016. DOI: 10.1155/2016/3891429  0.452
2016 Gillich GR, Abdel Wahab M, Yan R, Araújo Dos Santos JV. Damage Models and Assessment Methods Shock and Vibration. 2016. DOI: 10.1155/2016/1748712  0.366
2016 Shen F, Chen C, Yan R, Gao RX. Bearing fault diagnosis based on SVD feature extraction and transfer learning classification Proceedings of 2015 Prognostics and System Health Management Conference, Phm 2015. DOI: 10.1109/PHM.2015.7380088  0.527
2016 Yan R, Li X, Chen Z, Xu Q, Chen X. Improving calibration accuracy of a vibration sensor through a closed loop measurement system Ieee Instrumentation and Measurement Magazine. 19: 42-46. DOI: 10.1109/Mim.2016.7384960  0.344
2016 Zhang H, Chen X, Du Z, Yan R. Kurtosis based weighted sparse model with convex optimization technique for bearing fault diagnosis Mechanical Systems and Signal Processing. 80: 349-376. DOI: 10.1016/J.Ymssp.2016.04.033  0.425
2016 Sun W, Shao S, Zhao R, Yan R, Zhang X, Chen X. A sparse auto-encoder-based deep neural network approach for induction motor faults classification Measurement: Journal of the International Measurement Confederation. 89: 171-178. DOI: 10.1016/J.Measurement.2016.04.007  0.405
2016 Zhang X, Gao RX, Yan R, Chen X, Sun C, Yang Z. Multivariable wavelet finite element-based vibration model for quantitative crack identification by using particle swarm optimization Journal of Sound and Vibration. DOI: 10.1016/J.Jsv.2016.04.018  0.514
2016 Zhang H, Chen X, Du Z, Li X, Yan R. Nonlocal sparse model with adaptive structural clustering for feature extraction of aero-engine bearings Journal of Sound and Vibration. 368: 223-248. DOI: 10.1016/J.Jsv.2016.01.017  0.414
2015 Zhao L, Wang L, Yan R. Rolling Bearing Fault Diagnosis Based on Wavelet Packet Decomposition and Multi-Scale Permutation Entropy Entropy. 17: 6447-6461. DOI: 10.3390/E17096447  0.417
2015 Yan R, Shan M, Cui J, Wu Y. Mutual Information-Assisted Wavelet Function Selection for Enhanced Rolling Bearing Fault Diagnosis Shock and Vibration. 2015: 1-9. DOI: 10.1155/2015/794921  0.434
2015 Du Z, Chen X, Zhang H, Yan R. Sparse Feature Identification Based on Union of Redundant Dictionary for Wind Turbine Gearbox Fault Diagnosis Ieee Transactions On Industrial Electronics. 62: 6594-6605. DOI: 10.1109/Tie.2015.2464297  0.425
2015 Yang X, Yan R, Gao RX. Induction motor fault diagnosis using multiple class feature selection Conference Record - Ieee Instrumentation and Measurement Technology Conference. 2015: 256-260. DOI: 10.1109/I2MTC.2015.7151275  0.552
2014 Yan R, Qian Y, Hu S, Gao RX. Wind turbine gearbox fault diagnosis based on wavelet domain stationary subspace analysis Jixie Gongcheng Xuebao/Journal of Mechanical Engineering. 50: 9-16. DOI: 10.3901/Jme.2014.11.009  0.6
2014 Yan R, Chen X, Li W, Sheng S. Mathematical Methods and Modeling in Machine Fault Diagnosis Mathematical Problems in Engineering. 2014: 1-3. DOI: 10.1155/2014/516590  0.595
2014 Cui J, Shan M, Yan R, Wu Y. Aero-Engine Fault Diagnosis Using Improved Local Discriminant Bases and Support Vector Machine Mathematical Problems in Engineering. 2014: 1-9. DOI: 10.1155/2014/283718  0.425
2014 Zhao L, Yu W, Yan R. Rolling Bearing Fault Diagnosis Based on CEEMD and Time Series Modeling Mathematical Problems in Engineering. 2014: 1-13. DOI: 10.1155/2014/101867  0.445
2014 Qian Y, Yan R, Hu S. Bearing Degradation Evaluation Using Recurrence Quantification Analysis and Kalman Filter Ieee Transactions On Instrumentation and Measurement. 63: 2599-2610. DOI: 10.1109/Tim.2014.2313034  0.352
2014 Wang J, Gao RX, Yan R. Multi-scale enveloping order spectrogram for rotating machine health diagnosis Mechanical Systems and Signal Processing. 46: 28-44. DOI: 10.1016/J.Ymssp.2013.06.001  0.625
2014 Yan R, Gao RX, Chen X. Wavelets for fault diagnosis of rotary machines: A review with applications Signal Processing. 96: 1-15. DOI: 10.1016/J.Sigpro.2013.04.015  0.586
2014 Yan R, Gao RX, Zhang L. In-process modal parameter identification for spindle health monitoring Mechatronics. DOI: 10.1016/J.Mechatronics.2014.12.005  0.545
2014 Wang J, Gao RX, Yan R. Integration of EEMD and ICA for wind turbine gearbox diagnosis Wind Energy. 17: 757-773. DOI: 10.1002/We.1653  0.608
2013 Zeng H, Song A, Yan R, Qin H. EOG artifact correction from EEG recording using stationary subspace analysis and empirical mode decomposition. Sensors (Basel, Switzerland). 13: 14839-59. PMID 24189330 DOI: 10.3390/S131114839  0.354
2013 Wang J, Gao RX, Yan R. Concordia transform-based current analysis for induction motor diagnosis Key Engineering Materials. 569: 481-488. DOI: 10.4028/Www.Scientific.Net/Kem.569-570.481  0.541
2013 Yan R, Qian Y, Huang Z, Gao RX. Recurrence plot entropy for machine defect severity assessment Smart Structures and Systems. 11: 299-314. DOI: 10.12989/Sss.2013.11.3.299  0.593
2013 Wang J, Gao RX, Yan R, Wang L. An integrative computational method for gearbox diagnosis Procedia Cirp. 12: 133-138. DOI: 10.1016/J.Procir.2013.09.024  0.599
2013 Zhao R, Yan R, Gao RX. Dual-scale cascaded adaptive stochastic resonance for rotary machine health monitoring Transactions of the North American Manufacturing Research Institution of Sme. 41: 284-291. DOI: 10.1016/J.Jmsy.2013.05.009  0.616
2013 Zhao R, Yan R, Gao RX. Dual-scale cascaded adaptive stochastic resonance for rotary machine health monitoring Transactions of the North American Manufacturing Research Institution of Sme. 41: 284-291.  0.332
2012 Yan R, Gao RX. A nonlinear noise reduction approach to vibration analysis for bearing health diagnosis Journal of Computational and Nonlinear Dynamics. 7. DOI: 10.1115/1.4005463  0.576
2012 Kadrolkar A, Gao RX, Yan R, Gong W. Variable-word-length coding for energy-aware signal transmission Ieee Transactions On Instrumentation and Measurement. 61: 850-864. DOI: 10.1109/TIM.2011.2176229  0.477
2012 Yan R, Zhao R, Gao R. Noise-assisted data processing in measurement science: Part two Ieee Instrumentation & Measurement Magazine. 15: 32-35. DOI: 10.1109/Mim.2012.6365542  0.518
2012 Yan R, Zhao R, Gao RX. Noise-assisted data processing in measurement science: Part one part 40 in a series of tutorials on instrumentation and measurement Ieee Instrumentation & Measurement Magazine. 15: 41-44. DOI: 10.1109/Mim.2012.6314514  0.522
2012 Yan R, Liu Y, Gao RX. Permutation entropy: A nonlinear statistical measure for status characterization of rotary machines Mechanical Systems and Signal Processing. 29: 474-484. DOI: 10.1016/J.Ymssp.2011.11.022  0.593
2012 Wang J, Liu S, Gao RX, Yan R. Current envelope analysis for defect identification and diagnosis in induction motors Transactions of the North American Manufacturing Research Institution of Sme. 40: 157-165. DOI: 10.1016/J.Jmsy.2012.06.005  0.556
2012 Wang J, Gao RX, Yan R. A hybrid approach to bearing defect diagnosis in rotary machines Cirp Journal of Manufacturing Science and Technology. 5: 357-365. DOI: 10.1016/J.Cirpj.2012.09.009  0.61
2011 Yan R, Gao RX. Wavelet domain principal feature analysis for spindle health diagnosis Structural Health Monitoring. 10: 631-642. DOI: 10.1177/1475921710395806  0.626
2011 Malhi A, Yan R, Gao RX. Prognosis of defect propagation based on recurrent neural networks Ieee Transactions On Instrumentation and Measurement. 60: 703-711. DOI: 10.1109/Tim.2010.2078296  0.578
2011 Yan R, Gao RX. An introduction to complexity measure: Non-linear statistical parameters in measurements: Part 35 in a series of tutorials on instrumentation and measurement Ieee Instrumentation and Measurement Magazine. 14: 27-35. DOI: 10.1109/Mim.2011.6041379  0.556
2011 Yan R, Gao RX. Impact of wavelet basis on vibration analysis for rolling bearing defect diagnosis Conference Record - Ieee Instrumentation and Measurement Technology Conference. 393-396. DOI: 10.1109/IMTC.2011.5944209  0.556
2011 Yan R, Qian Y, Huang Z, Gao RX. Rolling bearing defect severity evaluation using recurrence plot entropy Conference Record - Ieee Instrumentation and Measurement Technology Conference. 150-153. DOI: 10.1109/IMTC.2011.5944161  0.522
2011 Wang J, Gao RX, Yan R. Broken-rotor-bar diagnosis for induction motors Journal of Physics: Conference Series. 305. DOI: 10.1088/1742-6596/305/1/012026  0.545
2010 Liu Y, Yan R, Gao RX. A nonlinear time series analysis method for health monitoring of rolling bearings Asme 2010 Dynamic Systems and Control Conference, Dscc2010. 2: 277-283. DOI: 10.1115/DSCC2010-4118  0.569
2010 Yan R, Gao RX. Design of an impulse wavelet for structural defect identification 2010 Prognostics and System Health Management Conference, Phm '10. DOI: 10.1109/PHM.2010.5414567  0.568
2010 He Q, Yan R, Gao RX. Wavelet packet base selection for gearbox defect severity classification 2010 Prognostics and System Health Management Conference, Phm '10. DOI: 10.1109/PHM.2010.5413489  0.558
2010 Yan R, Liu Y, Gao R. Correlation Dimension Analysis: A Non-linear Time Series Analysis for Data Processing Ieee Instrumentation & Measurement Magazine. 13: 19-25. DOI: 10.1109/Mim.2010.5669609  0.52
2010 Zhang J, Yan R, Gao RX, Feng Z. Performance enhancement of ensemble empirical mode decomposition Mechanical Systems and Signal Processing. 24: 2104-2123. DOI: 10.1016/J.Ymssp.2010.03.003  0.569
2010 Yan R, Gao RX. Harmonic wavelet-based data filtering for enhanced machine defect identification Journal of Sound and Vibration. 329: 3203-3217. DOI: 10.1016/J.Jsv.2010.02.005  0.588
2009 Wang C, Gao RX, Yan R, Malhi A. Rolling bearing defect severity assessment under varying operating conditions International Journal of Manufacturing Research. 4: 37-56. DOI: 10.1504/Ijmr.2009.022742  0.658
2009 Yan R, Gao RX, Zhang L, Lee KB. A module-based software system for spindle condition monitoring International Journal of Mechatronics and Manufacturing Systems. 2: 532. DOI: 10.1504/Ijmms.2009.028079  0.561
2009 Yan R, Gao RX. Base wavelet selection for bearing vibration signal analysis International Journal of Wavelets, Multiresolution and Information Processing. 7: 411-426. DOI: 10.1142/S0219691309002994  0.633
2009 Yan R, Gao RX, Wang C. Experimental evaluation of a unified time-scale-frequency technique for bearing defect feature extraction Journal of Vibration and Acoustics, Transactions of the Asme. 131: 0410121-04101210. DOI: 10.1115/1.3147125  0.708
2009 Yan R, Gao RX. Energy-based feature extraction for defect diagnosis in rotary machines Ieee Transactions On Instrumentation and Measurement. 58: 3130-3139. DOI: 10.1109/Tim.2009.2016886  0.638
2009 Yan R, Gao RX. Tutorial 21 wavelet transform: A mathematical tool for non-stationary signal processing in measurement science part 2 in a series of tutorials in instrumentation and measurement Ieee Instrumentation and Measurement Magazine. 12: 35-44. DOI: 10.1109/Mim.2009.5270529  0.555
2009 Zhu ZK, Yan R, Luo L, Feng ZH, Kong FR. Detection of signal transients based on wavelet and statistics for machine fault diagnosis Mechanical Systems and Signal Processing. 23: 1076-1097. DOI: 10.1016/J.Ymssp.2008.06.012  0.452
2009 Wang C, Gao RX, Yan R. Unified time-scale-frequency analysis for machine defect signature extraction: Theoretical framework Mechanical Systems and Signal Processing. 23: 226-235. DOI: 10.1016/J.Ymssp.2008.03.017  0.72
2009 He Q, Yan R, Kong F, Du R. Machine condition monitoring using principal component representations Mechanical Systems and Signal Processing. 23: 446-466. DOI: 10.1016/J.Ymssp.2008.03.010  0.452
2009 Yan R, Gao RX. Multi-scale enveloping spectrogram for vibration analysis in bearing defect diagnosis Tribology International. 42: 293-302. DOI: 10.1016/J.Triboint.2008.06.013  0.633
2009 Yan R, Gao RX. Information theoretic measure for wavelet selection in non-stationary vibration analysis Structural Health Monitoring 2009: From System Integration to Autonomous Systems - Proceedings of the 7th International Workshop On Structural Health Monitoring, Iwshm 2009. 2: 1202-1209.  0.559
2008 Yan R, Gao RX. Wavelet-based multi-fractal spectrum for machine defect identification Asme International Mechanical Engineering Congress and Exposition, Proceedings. 10: 673-679. DOI: 10.1115/IMECE2007-41984  0.57
2008 Yan R, Gao RX. Rotary machine health diagnosis based on empirical mode decomposition Journal of Vibration and Acoustics, Transactions of the Asme. 130. DOI: 10.1115/1.2827360  0.627
2008 Ball D, Yan R, Licht T, Deshmukh A, Gao R. A strategy for decomposing large-scale energy-constrained sensor networks for system monitoring Production Planning & Control. 19: 435-447. DOI: 10.1080/09537280802034653  0.502
2007 Yan R, Gao RX. A tour of the tour of the Hilbert-Huang transform: An empirical tool for signal analysis Ieee Instrumentation and Measurement Magazine. 10: 40-45. DOI: 10.1109/Mim.2007.4343566  0.59
2007 He Q, Kong F, Yan R. Subspace-based gearbox condition monitoring by kernel principal component analysis Mechanical Systems and Signal Processing. 21: 1755-1772. DOI: 10.1016/J.Ymssp.2006.07.014  0.407
2007 Yan R, Gao RX. Approximate Entropy as a diagnostic tool for machine health monitoring Mechanical Systems and Signal Processing. 21: 824-839. DOI: 10.1016/J.Ymssp.2006.02.009  0.625
2007 Gao RX, Yan R. Wavelet packet transform-based hybrid signal processing for machine health monitoring and diagnosis Structural Health Monitoring 2007: Quantification, Validation, and Implementation - Proceedings of the 6th International Workshop On Structural Health Monitoring, Iwshm 2007. 1: 598-605.  0.602
2007 Yan R, Gao RX. Complexity measure: A nonlinear time series analysis technique for machine health monitoring Structural Health Monitoring 2007: Quantification, Validation, and Implementation - Proceedings of the 6th International Workshop On Structural Health Monitoring, Iwshm 2007. 2: 1291-1298.  0.562
2006 Gao RX, Yan R. Non-stationary signal processing for bearing health monitoring International Journal of Manufacturing Research. 1: 18-40. DOI: 10.1504/Ijmr.2006.010701  0.619
2006 Yan R, Gao RX. Hilbert-huang transform-based vibration signal analysis for machine health monitoring Ieee Transactions On Instrumentation and Measurement. 55: 2320-2329. DOI: 10.1109/Tim.2006.887042  0.639
2006 Gao RX, Wang C, Yan R, Malhi A. A neural network approach to bearing health assessment Ieee International Conference On Neural Networks - Conference Proceedings. 899-906.  0.432
2005 Gao RX, Deshmukh A, Yan R, Fan Z. Energy efficient wireless sensor network for dynamic system monitoring Proceedings of Spie - the International Society For Optical Engineering. 5999. DOI: 10.1117/12.630817  0.449
2005 Yan R, Gao RX. Generalized harmonic wavelet as an adaptive filter for machine health diagnosis Proceedings of Spie - the International Society For Optical Engineering. 5765: 786-793. DOI: 10.1117/12.599925  0.562
2005 Yan R, Gao RX. An efficient approach to machine health diagnosis based on harmonic wavelet packet transform Robotics and Computer-Integrated Manufacturing. 21: 291-301. DOI: 10.1016/J.Rcim.2004.10.005  0.631
2005 Yan R, Gao RX. Transient signal analysis based on Hilbert-Huang transform Conference Record - Ieee Instrumentation and Measurement Technology Conference. 2: 1198-1202.  0.589
2005 Gao RX, Yan R. A hybrid signal processing technique for bearing defect severity estimation Proceedings of the World Tribology Congress Iii - 2005. 857-858.  0.563
2005 Yan R, Gao RX. Multi-scale enveloping spectrogram for bearing defect detection Proceedings of the World Tribology Congress Iii - 2005. 855-856.  0.439
2004 Yan R, Gao RX. Harmonic wavelet packet transform for on-line system health diagnosis Proceedings of Spie - the International Society For Optical Engineering. 5391: 512-522. DOI: 10.1117/12.539914  0.562
2004 Yan R, Gao RX. Complexity as a measure for machine health evaluation Ieee Transactions On Instrumentation and Measurement. 53: 1327-1334. DOI: 10.1109/Tim.2004.831169  0.595
2004 Yan R, Gao RX. Machine health diagnosis based on approximate entropy Conference Record - Ieee Instrumentation and Measurement Technology Conference. 3: 2054-2059.  0.561
2003 Yan R, Gao RX. A Hybrid Signal Processing Approach to Sensor Data Analysis American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) Dsc. 72: 1159-1166. DOI: 10.1115/IMECE2003-42586  0.555
2003 Yan R, Gao RX. Complexity as a measure for machine fault detection and diagnosis Conference Record - Ieee Instrumentation and Measurement Technology Conference. 1: 65-70.  0.583
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