Year |
Citation |
Score |
2020 |
Chakraborty A, Sivaram A, Samavedham L, Venkatasubramanian V. Mechanism discovery and model identification using genetic feature extraction and statistical testing Computers & Chemical Engineering. 140: 106900. DOI: 10.1016/J.Compchemeng.2020.106900 |
0.327 |
|
2020 |
Sivaram A, Das L, Venkatasubramanian V. Hidden representations in deep neural networks: Part 1. Classification problems Computers & Chemical Engineering. 134: 106669. DOI: 10.1016/J.Compchemeng.2019.106669 |
0.312 |
|
2019 |
Luo Y, Iyengar G, Venkatasubramanian V. A One-Third Advice Rule Based on a Control-Theoretic Opinion Dynamics Model Ieee Transactions On Computational Social Systems. 6: 576-581. DOI: 10.1109/Tcss.2019.2910261 |
0.692 |
|
2019 |
Suresh R, Sivaram A, Venkatasubramanian V. A hierarchical approach for causal modeling of process systems Computers & Chemical Engineering. 123: 170-183. DOI: 10.1016/J.Compchemeng.2018.12.017 |
0.765 |
|
2019 |
Venkatasubramanian V, Luo Y, Zhang Z. Control of complex sociotechnical systems: Importance of causal models and game theory Computers & Chemical Engineering. 123: 1-11. DOI: 10.1016/J.Compchemeng.2018.12.010 |
0.474 |
|
2018 |
Luo Y, Iyengar G, Venkatasubramanian V. Social Influence Makes Self-Interested Crowds Smarter: An Optimal Control Perspective Ieee Transactions On Computational Social Systems. 5: 200-209. DOI: 10.1109/Tcss.2017.2780270 |
0.696 |
|
2017 |
Venkatasubramanian V. Statistical Teleodynamics: Toward a Theory of Emergence. Langmuir : the Acs Journal of Surfaces and Colloids. 33: 11703-11718. PMID 28793759 DOI: 10.1021/Acs.Langmuir.7B02166 |
0.3 |
|
2017 |
Remolona MFM, Conway MF, Balasubramanian S, Fan L, Feng Z, Gu T, Kim H, Nirantar PM, Panda S, Ranabothu NR, Rastogi N, Venkatasubramanian V. Hybrid ontology-learning materials engineering system for pharmaceutical products: Multi-label entity recognition and concept detection Computers & Chemical Engineering. 107: 49-60. DOI: 10.1016/J.Compchemeng.2017.03.012 |
0.374 |
|
2017 |
Li YF, Venkatasubramanian V. Neural Network to Understand Process Capability and Process Intermediates Acceptance Criteria in Monoclonal Antibody Production Process Journal of Pharmaceutical Innovation. 13: 36-47. DOI: 10.1007/S12247-017-9301-1 |
0.342 |
|
2016 |
Luo Y, Iyengar G, Venkatasubramanian V. Soft Regulation with Crowd Recommendation: Coordinating Self-Interested Agents in Sociotechnical Systems under Imperfect Information. Plos One. 11: e0150343. PMID 26977699 DOI: 10.1371/Journal.Pone.0150343 |
0.698 |
|
2016 |
Li YF, Venkatasubramanian V. Leveraging Bayesian Approach to Predict Drug Manufacturing Performance Journal of Pharmaceutical Innovation. 11: 331-338. DOI: 10.1007/S12247-016-9261-X |
0.316 |
|
2015 |
Bookstaber R, Glasserman P, Iyengar G, Luo Y, Venkatasubramanian V, Zhang Z. Process Systems Engineering as a Modeling Paradigm for Analyzing Systemic Risk in Financial Networks The Journal of Investing. 24: 147-162. DOI: 10.3905/Joi.2015.24.2.147 |
0.736 |
|
2015 |
Venkatasubramanian V, Luo Y, Sethuraman J. How much inequality in income is fair? A microeconomic game theoretic perspective Physica a: Statistical Mechanics and Its Applications. 435: 120-138. DOI: 10.1016/J.Physa.2015.04.014 |
0.406 |
|
2013 |
Gupta A, Giridhar A, Venkatasubramanian V, Reklaitis GV. Intelligent alarm management applied to continuous pharmaceutical tablet manufacturing: An integrated approach Industrial and Engineering Chemistry Research. 52: 12357-12368. DOI: 10.1021/Ie3035042 |
0.454 |
|
2013 |
Villez K, Venkatasubramanian V, Rengaswamy R. Generalized shape constrained spline fitting for qualitative analysis of trends Computers and Chemical Engineering. 58: 116-134. DOI: 10.1016/J.Compchemeng.2013.06.005 |
0.67 |
|
2013 |
Gupta A, Giridhar A, Reklaitis GV, Venkatasubramanian V. Intelligent alarm system applied to continuous pharmaceutical manufacturing Computer Aided Chemical Engineering. 32: 499-504. DOI: 10.1016/B978-0-444-63234-0.50084-1 |
0.38 |
|
2012 |
Monroy I, Villez K, Graells M, Venkatasubramanian V. Fault diagnosis of a benchmark fermentation process: a comparative study of feature extraction and classification techniques. Bioprocess and Biosystems Engineering. 35: 689-704. PMID 22076402 DOI: 10.1007/S00449-011-0649-1 |
0.469 |
|
2012 |
Villez K, Rieger L, Keser B, Venkatasubramanian V. Probabilistic qualitative analysis for fault detection and identification of an on-line phosphate analyzer International Journal of Advances in Engineering Sciences and Applied Mathematics. 4: 67-77. DOI: 10.1007/S12572-012-0056-0 |
0.384 |
|
2012 |
Hamdan IM, Reklaitis GV, Venkatasubramanian V. Real-time exceptional events management for a partial continuous dry granulation line Journal of Pharmaceutical Innovation. 7: 95-118. DOI: 10.1007/S12247-012-9138-6 |
0.409 |
|
2011 |
Villez K, Venkatasubramanian V, Garcia H, Rieger C. Supervisory control of a pilot-scale cooling loop Proceedings - Isrcs 2011: 4th International Symposium On Resilient Control Systems. 75-80. DOI: 10.1109/ISRCS.2011.6016092 |
0.347 |
|
2011 |
Villez K, Srinivasan B, Rengaswamy R, Narasimhan S, Venkatasubramanian V. Kalman-based strategies for Fault Detection and Identification (FDI): Extensions and critical evaluation for a buffer tank system Computers and Chemical Engineering. 35: 806-816. DOI: 10.1016/J.Compchemeng.2011.01.045 |
0.729 |
|
2011 |
Monroy I, Villez K, Graells M, Venkatasubramanian V. Dynamic process monitoring and fault detection in a batch fermentation process. comparative performance assessment between MPCA and BDPCA Computer Aided Chemical Engineering. 29: 1371-1375. DOI: 10.1016/B978-0-444-54298-4.50053-2 |
0.462 |
|
2011 |
Giridhar A, Hamdan I, Joglekar G, Venkatasubramanian V, Reklaitis GV. Real-time Process Management in Particulate and Pharmaceutical Systems Computer Aided Chemical Engineering. 29: 1035-1039. DOI: 10.1016/B978-0-444-53711-9.50207-8 |
0.393 |
|
2010 |
Villez K, Venkatasubramanian V, Spinner T, Rengaswamy R, Garcia H, Rieger C. Achieving resilience in critical infrastructures: A case study for a nuclear power plant cooling loop Proceedings - Isrcs 2010 - 3rd International Symposium On Resilient Control Systems. 49-52. DOI: 10.1109/ISRCS.2010.5602159 |
0.705 |
|
2010 |
Suresh P, Hsu SH, Reklaitis GV, Venkatasubramanian V. OntoMODEL: Ontological mathematical modeling knowledge management in pharmaceutical product development, 2: Applications Industrial and Engineering Chemistry Research. 49: 7768-7781. DOI: 10.1021/Ie100258P |
0.382 |
|
2010 |
Villez K, Srinivasan B, Rengaswamy R, Narasimhan S, Venkatasubramanian V. Resilient control in view of valve stiction: Extension of a Kalman-based FTC scheme Computer Aided Chemical Engineering. 28: 547-552. DOI: 10.1016/S1570-7946(10)28092-6 |
0.73 |
|
2010 |
Maurya MR, Paritosh PK, Rengaswamy R, Venkatasubramanian V. A framework for on-line trend extraction and fault diagnosis Engineering Applications of Artificial Intelligence. 23: 950-960. DOI: 10.1016/J.Engappai.2010.01.027 |
0.746 |
|
2010 |
Sesen MB, Suresh P, Banares-Alcantara R, Venkatasubramanian V. An ontological framework for automated regulatory compliance in pharmaceutical manufacturing Computers and Chemical Engineering. 34: 1155-1169. DOI: 10.1016/J.Compchemeng.2009.09.004 |
0.326 |
|
2010 |
Hamdan IM, Reklaitis GV, Venkatasubramanian V. Exceptional events management applied to roller compaction of pharmaceutical powders Journal of Pharmaceutical Innovation. 5: 147-160. DOI: 10.1007/S12247-010-9087-X |
0.301 |
|
2010 |
Hailemariam L, Venkatasubramanian V. Purdue ontology for pharmaceutical engineering: Part I. Conceptual framework Journal of Pharmaceutical Innovation. 5: 88-99. DOI: 10.1007/S12247-010-9081-3 |
0.329 |
|
2010 |
Hsu SH, Reklaitis GV, Venkatasubramanian V. Modeling and control of roller compaction for pharmaceutical manufacturing. Part I: Process dynamics and control framework Journal of Pharmaceutical Innovation. 5: 14-23. DOI: 10.1007/S12247-010-9076-0 |
0.315 |
|
2009 |
Pezzuto JM, Venkatasubramanian V, Hamad M, Morris KR. Unraveling the relationship between grapes and health. The Journal of Nutrition. 139: 1783S-7S. PMID 19625701 DOI: 10.3945/Jn.109.107458 |
0.326 |
|
2009 |
Villez K, Venkatasubramanian V, Narasimhan S. Bayesian inference for fault-tolerant control Proceedings - Isrcs 2009 - 2nd International Symposium On Resilient Control Systems. 51-53. DOI: 10.1109/ISRCS.2009.5251340 |
0.348 |
|
2009 |
Hsu SH, Stamatis SD, Caruthers JM, Delgass WN, Venkatasubramanian V, Blau GE, Lasinski M, Orcun S. Bayesian framework for building kinetic models of catalytic systems Industrial and Engineering Chemistry Research. 48: 4768-4790. DOI: 10.1021/Ie801651Y |
0.358 |
|
2009 |
Yélamos I, Bojarski A, Joglekar G, Venkatasubramanian V, Puigjaner L. Enhancing abnormal events management by the use of quantitative process hazards analysis results Industrial and Engineering Chemistry Research. 48: 3921-3933. DOI: 10.1021/Ie800405N |
0.395 |
|
2009 |
Sesen MB, Suresh P, Bañares-Alcántara R, Venkatasubramanian V. Development of a computer support system for the management of regulatory compliance of pharmaceutical processes Computer Aided Chemical Engineering. 27: 2013-2018. DOI: 10.1016/S1570-7946(09)70726-6 |
0.376 |
|
2008 |
Blau G, Lasinski M, Orcun S, Hsu SH, Caruthers J, Delgass N, Venkatasubramanian V. High fidelity mathematical model building with experimental data: A Bayesian approach Computers and Chemical Engineering. 32: 971-989. DOI: 10.1016/J.Compchemeng.2007.04.008 |
0.345 |
|
2007 |
Maurya MR, Rengaswamy R, Venkatasubramanian V. A signed directed graph and qualitative trend analysis-based framework for incipient fault diagnosis Chemical Engineering Research and Design. 85: 1407-1422. DOI: 10.1016/S0263-8762(07)73181-7 |
0.745 |
|
2007 |
Maurya MR, Rengaswamy R, Venkatasubramanian V. Fault diagnosis using dynamic trend analysis: A review and recent developments Engineering Applications of Artificial Intelligence. 20: 133-146. DOI: 10.1016/J.Engappai.2006.06.020 |
0.744 |
|
2007 |
Venkatasubramanian V. A theory of design of complex teleological systems: Unifying the darwinian and boltzmannian perspectives Complexity. 12: 14-21. DOI: 10.1002/Cplx.20161 |
0.312 |
|
2006 |
Zhao C, Hailemariam L, Jain A, Joglekar G, Venkatasubramanian V, Morris K, Reklaitis G. Information modeling for pharmaceutical product development Computer Aided Chemical Engineering. 21: 2147-2152. DOI: 10.1016/S1570-7946(06)80366-4 |
0.311 |
|
2006 |
Zhao C, Jain A, Hailemariam L, Joglekar G, Venkatasubramanian V, Morris K, Reklaitis G. A unified approach for knowledge modeling in pharmaceutical product development Computer Aided Chemical Engineering. 21: 1929-1935. DOI: 10.1016/S1570-7946(06)80330-5 |
0.348 |
|
2006 |
Maurya MR, Katare S, Patkar PR, Rundell AE, Venkatasubramanian V. A systematic framework for the design of reduced-order models for signal transduction pathways from a control theoretic perspective Computers and Chemical Engineering. 30: 437-452. DOI: 10.1016/J.Compchemeng.2005.10.003 |
0.305 |
|
2006 |
Maurya MR, Rengaswamy R, Venkatasubramanian V. A signed directed graph-based systematic framework for steady-state malfunction diagnosis inside control loops Chemical Engineering Science. 61: 1790-1810. DOI: 10.1016/J.Ces.2005.10.023 |
0.736 |
|
2005 |
Zhao C, Bhushan M, Venkatasubramanian V. Phasuite: An automated HAZOP analysis tool for chemical processes Part II: Implementation and case study Process Safety and Environmental Protection. 83: 533-548. DOI: 10.1205/Psep.04056 |
0.36 |
|
2005 |
Zhao C, Bhushan M, Venkatasubramanian V. Phasuite: An automated HAZOP analysis tool for chemical processes: Part I: Knowledge engineering framework Process Safety and Environmental Protection. 83: 509-532. DOI: 10.1205/Psep.04055 |
0.379 |
|
2005 |
Maurya MR, Rengaswamy R, Venkatasubramanian V. Fault diagnosis by qualitative trend analysis of the principal components Chemical Engineering Research and Design. 83: 1122-1132. DOI: 10.1205/Cherd.04280 |
0.74 |
|
2005 |
Zhao C, Joglekar G, Jain A, Venkatasubramanian V, Reklaitis GV. Pharmaceutical informatics: A novel paradigm for pharmaceutical product development and manufacture Computer Aided Chemical Engineering. 20: 1561-1566. DOI: 10.1016/S1570-7946(05)80102-6 |
0.332 |
|
2005 |
Zhao C, Venkatasubramanian V. Learning in intelligent systems for process safety analysis Computer Aided Chemical Engineering. 20: 1123-1128. DOI: 10.1016/S1570-7946(05)80029-X |
0.31 |
|
2005 |
Venkatasubramanian V. Prognostic and diagnostic monitoring of complex systems for product lifecycle management: Challenges and opportunities Computers and Chemical Engineering. 29: 1253-1263. DOI: 10.1016/J.Compchemeng.2005.02.026 |
0.349 |
|
2005 |
Caruthers JM, Delgass WN, Abu-Omar M, Thomson KT, Venkatasubramanian V, Blau GE, Manz TA, Medvedev G, Haq J, Novstrup KA, Phomphrai K, Sharma S, Krishnamurthy BB. Discovery informatics for catalyst design: Single site olefin polymerization catalysts Aiche Annual Meeting, Conference Proceedings. 9761. |
0.553 |
|
2005 |
Krishnamurthy G, Bhan A, Hsu SH, Joshi Y, Delgass WN, Caruthers JM, Blau GE, Thomson KT, Venkatasubramanian V. Modeling propane aromatization on Hzsm-5 and Ga/Hzsm-5 Aiche Annual Meeting, Conference Proceedings. 10177. |
0.571 |
|
2005 |
Krishnamurthy G, Bhan A, Hsu SH, Joshi Y, Delgass WN, Caruthers JM, Blau GE, Thomson KT, Venkatasubramanian V. Modeling propane aromatization on Hzsm-5 and Ga/Hzsm-5 Aiche Annual Meeting, Conference Proceedings. 10177. |
0.571 |
|
2004 |
Katare S, Caruthers JM, Delgass WN, Venkatasubramanian V. An intelligent system for reaction kinetic modeling and catalyst design Industrial and Engineering Chemistry Research. 43: 3484-3512. DOI: 10.1021/Ie034067H |
0.32 |
|
2004 |
Zhao C, Shimada Y, Venkatasubramanian V. An integrated system to support design of safer batch processes Computer Aided Chemical Engineering. 18: 307-312. DOI: 10.1016/S1570-7946(04)80117-2 |
0.313 |
|
2004 |
Maurya MR, Rengaswamy R, Venkatasubramanian V. Application of signed digraphs-based analysis for fault diagnosis of chemical process flowsheets Engineering Applications of Artificial Intelligence. 17: 501-518. DOI: 10.1016/J.Engappai.2004.03.007 |
0.75 |
|
2004 |
Katare S, Bhan A, Caruthers JM, Delgass WN, Venkatasubramanian V. A hybrid genetic algorithm for efficient parameter estimation of large kinetic models Computers and Chemical Engineering. 28: 2569-2581. DOI: 10.1016/J.Compchemeng.2004.07.002 |
0.341 |
|
2004 |
Dash S, Maurya MR, Venkatasubramanian V, Rengaswamy R. A novel interval-halving framework for automated identification of process trends Aiche Journal. 50: 149-162. DOI: 10.1002/Aic.10014 |
0.711 |
|
2003 |
Ghosh P, Katare S, Patkar P, Caruthers JM, Venkatasubramanian V, Walker KA. Sulfur Vulcanization of Natural Rubber for Benzothiazole Accelerated Formulations: From Reaction Mechanisms to a Rational Kinetic Model Rubber Chemistry and Technology. 76: 592-693. DOI: 10.5254/1.3547762 |
0.321 |
|
2003 |
Maurya MR, Rengaswamy R, Venkatasubramanian V. A Systematic Framework for the Development and Analysis of Signed Digraphs for Chemical Processes. 2. Control Loops and Flowsheet Analysis Industrial & Engineering Chemistry Research. 42: 4811-4827. DOI: 10.1021/Ie0206453 |
0.701 |
|
2003 |
Maurya MR, Rengaswamy R, Venkatasubramanian V. A Systematic Framework for the Development and Analysis of Signed Digraphs for Chemical Processes. 1. Algorithms and Analysis Industrial & Engineering Chemistry Research. 42: 4789-4810. DOI: 10.1021/Ie020644A |
0.71 |
|
2003 |
Huang Y, Reklaitis aGV, Venkatasubramanian V. A Heuristic Extended Kalman Filter Based Estimator for Fault Identification in a Fluid Catalytic Cracking Unit Industrial & Engineering Chemistry Research. 42: 3361-3371. DOI: 10.1021/Ie010659T |
0.374 |
|
2003 |
Maurya MR, Rengaswamy R, Venkatasubramanian V. Qualitative trend analysis of the principal components: application to fault diagnosis Computer Aided Chemical Engineering. 15: 968-973. DOI: 10.1016/S1570-7946(03)80433-9 |
0.741 |
|
2003 |
Mu F, Venkatasubramanian V. Online HAZOP analysis for abnormal event management of batch process Computer Aided Chemical Engineering. 14: 803-808. DOI: 10.1016/S1570-7946(03)80215-8 |
0.425 |
|
2003 |
Maurya MR, Rengaswamy R, Venkatasubramanian V. Consistent malfunction diagnosis inside control loops using signed directed graphs Computer-Aided Chemical Engineering. 14: 473-478. DOI: 10.1016/S1570-7946(03)80160-8 |
0.734 |
|
2003 |
Zhao C, Bhushan M, Venkatasubramanian V. Roles of ontology in automated process safety analysis Computer-Aided Chemical Engineering. 14: 341-346. DOI: 10.1016/S1570-7946(03)80138-4 |
0.317 |
|
2003 |
Ram Maurya M, Rengaswamy R, Venkatasubramanian V. Fault Diagnosis by Qualitative Trend Analysis of the Principal Components: Prospects and Some New Results Ifac Proceedings Volumes. 36: 783-788. DOI: 10.1016/S1474-6670(17)36588-6 |
0.739 |
|
2003 |
Dash S, Rengaswamy R, Venkatasubramanian V. Fuzzy-logic based trend classification for fault diagnosis of chemical processes Computers & Chemical Engineering. 27: 347-362. DOI: 10.1016/S0098-1354(02)00214-4 |
0.749 |
|
2003 |
Venkatasubramanian V, Rengaswamy R, Kavuri SN, Yin K. A review of process fault detection and diagnosis part III: Process history based methods Computers and Chemical Engineering. 27: 327-346. DOI: 10.1016/S0098-1354(02)00162-X |
0.758 |
|
2003 |
Venkatasubramanian V, Rengaswamy R, Kavuri SN. A review of process fault detection and diagnosis part II: Qualitative models and search strategies Computers and Chemical Engineering. 27: 313-326. DOI: 10.1016/S0098-1354(02)00161-8 |
0.732 |
|
2003 |
Venkatasubramanian V, Rengaswamy R, Yin K, Kavuri SN. A review of process fault detection and diagnosis part I: Quantitative model-based methods Computers and Chemical Engineering. 27: 293-311. DOI: 10.1016/S0098-1354(02)00160-6 |
0.765 |
|
2003 |
Caruthers JM, Lauterbach JA, Thomson KT, Venkatasubramanian V, Snively CM, Bhan A, Katare S, Oskarsdottir G. Catalyst design: Knowledge extraction from high-throughput experimentation Journal of Catalysis. 216: 98-109. DOI: 10.1016/S0021-9517(02)00036-2 |
0.666 |
|
2003 |
Dash S, Venkatasubramanian V. Integrated framework for abnormal event management and process hazards analysis Aiche Journal. 49: 124-139. DOI: 10.1002/Aic.690490112 |
0.397 |
|
2002 |
Huang Y, Reklaitis aGV, Venkatasubramanian V. A Model-Based Fault Accommodation System Industrial & Engineering Chemistry Research. 41: 3806-3821. DOI: 10.1021/Ie0108200 |
0.46 |
|
2002 |
Gani R, Achenie LEK, Venkatasubramanian V. Chapter 16: Challenges and opportunities for CAMD Computer Aided Chemical Engineering. 12: 357-377. DOI: 10.1016/S1570-7946(03)80018-4 |
0.327 |
|
2002 |
Gani R, Achenie LEK, Venkatasubramanian V. Chapter 1: Introduction to CAMD Computer Aided Chemical Engineering. 12: 3-21. DOI: 10.1016/S1570-7946(03)80003-2 |
0.311 |
|
2002 |
Huang YJ, Reklaitis G, Venkatasubramanian V. Model decomposition based method for solving general dynamic optimization problems Computers & Chemical Engineering. 26: 863-873. DOI: 10.1016/S0098-1354(02)00007-8 |
0.334 |
|
2002 |
Viswanathan S, Shah N, Venkatasubramanian V. Hybrid framework for hazard identification and assessment in batch processes Aiche Journal. 48: 1765-1774. DOI: 10.1002/Aic.690480817 |
0.384 |
|
2001 |
Zhao J, Viswanathan S, Zhao C, Mu F, Venkatasubramanian V. Knowledge-based management of change in chemical process industry Computer-Aided Chemical Engineering. 9: 931-936. DOI: 10.1016/S1570-7946(01)80149-8 |
0.368 |
|
2001 |
Venkatasubramanian V, Zhao J, Viswanathan S, Zhao C, Mu F, Harper P, Russell B. An Integrated Environment for Batch Process Development - From Recipe to Manufacture Computer-Aided Chemical Engineering. 9: 925-930. DOI: 10.1016/S1570-7946(01)80148-6 |
0.352 |
|
2001 |
Dash S, Kantharao S, Rengaswamy R, Venkatasubramanian V. Application and evaluation of linear/restricted nonlinear observers to a nonlinear CSTR Computer-Aided Chemical Engineering. 9: 853-858. DOI: 10.1016/S1570-7946(01)80136-X |
0.724 |
|
2001 |
Maurya MR, Rengaswamy R, Venkatasubramanian V. Systematic Development and Application of Digraphs for Process Diagnosis and Hazards Analysis Ifac Proceedings Volumes. 34: 327-332. DOI: 10.1016/S1474-6670(17)33613-3 |
0.736 |
|
2001 |
Dash S, Venkatasubramanian V. Offline Safety Analysis for Online Fault Diagnosis Ifac Proceedings Volumes. 34: 179-184. DOI: 10.1016/S1474-6670(17)33588-7 |
0.39 |
|
2001 |
Dash S, Rengaswamy R, Venkatasubramanian V. A Novel Interval-Halving Algorithm for Process Trend Identification Ifac Proceedings Volumes. 34: 155-160. DOI: 10.1016/S1474-6670(17)33584-X |
0.734 |
|
2001 |
Venkatasubramanian V. Process Fault Detection and Diagnosis: Past, Present and Future Ifac Proceedings Volumes. 34: 1-13. DOI: 10.1016/S1474-6670(17)33563-2 |
0.449 |
|
2001 |
Rengaswamy R, Mylaraswamy D, Årzén K, Venkatasubramanian V. A comparison of model-based and neural network-based diagnostic methods Engineering Applications of Artificial Intelligence. 14: 805-818. DOI: 10.1016/S0952-1976(02)00010-6 |
0.726 |
|
2001 |
Rengaswamy R, Hägglund T, Venkatasubramanian V. Qualitative shape analysis formalism for monitoring control loop performance Engineering Applications of Artificial Intelligence. 14: 23-33. DOI: 10.1016/S0952-1976(00)00051-8 |
0.702 |
|
2001 |
Vachhani P, Rengaswamy R, Venkatasubramanian V. A framework for integrating diagnostic knowledge with nonlinear optimization for data reconciliation and parameter estimation in dynamic systems Chemical Engineering Science. 56: 2133-2148. DOI: 10.1016/S0009-2509(00)00488-7 |
0.77 |
|
2001 |
Sundaram A, Ghosh P, Caruthers JM, Venkatasubramanian V. Design of fuel additives using neural networks and evolutionary algorithms Aiche Journal. 47: 1387-1406. DOI: 10.1002/Aic.690470615 |
0.34 |
|
2000 |
Zhao J, Viswanathan S, Venkatasubramanian V. Industrial applications of intelligent systems for operating procedure synthesis and hazards analysis for batch process plants Computer Aided Chemical Engineering. 8: 787-792. DOI: 10.1016/S1570-7946(00)80133-9 |
0.349 |
|
2000 |
Dash S, Venkatasubramanian V. Using PHA results for real time operator support during ASM Computer Aided Chemical Engineering. 8: 775-780. DOI: 10.1016/S1570-7946(00)80131-5 |
0.36 |
|
2000 |
Venkatasubramanian V, Zhao J, Viswanathan S. Intelligent systems for HAZOP analysis of complex process plants Computers and Chemical Engineering. 24: 2291-2302. DOI: 10.1016/S0098-1354(00)00573-1 |
0.407 |
|
2000 |
Huang Y, Reklaitis GV, Venkatasubramanian V. Dynamic optimization based fault accommodation Computers and Chemical Engineering. 24: 439-444. DOI: 10.1016/S0098-1354(00)00435-X |
0.452 |
|
2000 |
Rengaswamy R, Venkatasubramanian V. A fast training neural network and its updation for incipient fault detection and diagnosis Computers and Chemical Engineering. 24: 431-437. DOI: 10.1016/S0098-1354(00)00434-8 |
0.744 |
|
2000 |
Ghosh P, Sundaram A, Venkatasubramanian V, Caruthers JM. Integrated product engineering: A hybrid evolutionary framework Computers and Chemical Engineering. 24: 685-691. DOI: 10.1016/S0098-1354(00)00420-8 |
0.339 |
|
2000 |
Viswanathan S, Shah N, Venkatasubramanian V. A hybrid strategy for batch process hazards analysis Computers and Chemical Engineering. 24: 545-549. DOI: 10.1016/S0098-1354(00)00385-9 |
0.38 |
|
2000 |
Dash S, Venkatasubramanian V. Challenges in the industrial applications of fault diagnostic systems Computers and Chemical Engineering. 24: 785-791. DOI: 10.1016/S0098-1354(00)00374-4 |
0.469 |
|
1999 |
Vedam H, Venkatasubramanian V. PCA-SDG based process monitoring and fault diagnosis Control Engineering Practice. 7: 903-917. DOI: 10.1016/S0967-0661(99)00040-4 |
0.474 |
|
1999 |
Vedam H, Dash S, Venkatasubramanian V. An intelligent operator decision support system for abnormal situation management Computers & Chemical Engineering. 23: S577-S580. DOI: 10.1016/S0098-1354(99)80142-2 |
0.396 |
|
1998 |
Vedam H, Venkatasubramanian V. Automated Interpretation of PCA-Based Process Monitoring and Fault Diagnosis Using Signed Digraphs Ifac Proceedings Volumes. 31: 219-223. DOI: 10.1016/S1474-6670(17)37562-6 |
0.467 |
|
1998 |
Viswanathan S, Johnsson C, Srinivasan R, Venkatasubramanian V, Ärzen KE. Automating operating procedure synthesis for batch processes Computers & Chemical Engineering. 22: 1687-1698. DOI: 10.1016/S0098-1354(98)00229-4 |
0.326 |
|
1998 |
Viswanathan S, Johnsson C, Srinivasan R, Venkatasubramanian V, Ärzen KE. Automating operating procedure synthesis for batch processes Computers & Chemical Engineering. 22: 1673-1685. DOI: 10.1016/S0098-1354(98)00228-2 |
0.34 |
|
1998 |
Srinivasan R, Venkatasubramanian V. Multi-perspective models for process hazards analysis of large scale chemical processes Computers & Chemical Engineering. 22: S961-S964. DOI: 10.1016/S0098-1354(98)00190-2 |
0.467 |
|
1998 |
Vedam H, Venkatasubramanian V, Bhalodia M. A B-spline based method for data compression, process monitoring and diagnosis Computers & Chemical Engineering. 22: S827-S830. DOI: 10.1016/S0098-1354(98)00158-6 |
0.351 |
|
1998 |
Srinivasan R, Venkatasubramanian V. Automating HAZOP analysis of batch chemical plants: Part II. Algorithms and application Computers and Chemical Engineering. 22: 1357-1370. DOI: 10.1016/S0098-1354(98)00019-2 |
0.352 |
|
1998 |
Srinivasan R, Venkatasubramanian V. Automating HAZOP analysis of batch chemical plants: Part I. The knowledge representation framework Computers and Chemical Engineering. 22: 1345-1355. DOI: 10.1016/S0098-1354(98)00018-0 |
0.412 |
|
1998 |
Srinivasan R, Dimitriadis VD, Shah N, Venkatasubramanian V. Safety verification using a hybrid knowledge-based mathematical programming framework Aiche Journal. 44: 361-371. DOI: 10.1002/Aic.690440213 |
0.394 |
|
1997 |
Mylaraswamy D, Venkatasubramanian V. A hybrid framework for large scale process fault diagnosis Computers & Chemical Engineering. 21: S935-S940. DOI: 10.1016/S0098-1354(97)87622-3 |
0.475 |
|
1997 |
Vedam H, Venkatasubramanian V. Signed digraph based multiple fault diagnosis Computers & Chemical Engineering. 21: S655-S660. DOI: 10.1016/S0098-1354(97)87577-1 |
0.457 |
|
1997 |
Doyle FJ, Pekny JF, Reklaitis G, Venkatasubramanian V. A graduate course in computer integrated process operations Computers & Chemical Engineering. 21: S255-S259. DOI: 10.1016/S0098-1354(97)87511-4 |
0.377 |
|
1996 |
Aoyama A, Doyle FJ, Venkatasubramanian V. Control-affine neural network approach for nonminimum-phase nonlinear process control Journal of Process Control. 6: 17-26. DOI: 10.1016/0959-1524(95)00012-7 |
0.346 |
|
1996 |
Vaidhyanathan R, Venkatasubramanian V. A semi-quantitative reasoning methodology for filtering and ranking HAZOP results in HAZOPExpert Reliability Engineering and System Safety. 53: 185-203. DOI: 10.1016/0951-8320(96)00061-0 |
0.398 |
|
1996 |
Vaidhyanathan R, Venkatasubramanian V. Experience with an expert system for automated HAZOP analysis Computers & Chemical Engineering. 20: S1589-S1594. DOI: 10.1016/0098-1354(96)00270-0 |
0.385 |
|
1996 |
Shin D, Venkatasubramanian V. Intelligent tutoring system framework for operator training for diagnostic problem solving Computers & Chemical Engineering. 20: S1365-S1370. DOI: 10.1016/0098-1354(96)00234-7 |
0.339 |
|
1996 |
Srinivasan R, Venkatasubramanian V. Petri net-Digraph models for automating HAZOP analysis of batch process plants Computers & Chemical Engineering. 20: S719-S725. DOI: 10.1016/0098-1354(96)00129-9 |
0.364 |
|
1996 |
Doyle FJ, Venkatasubramanian V, Kendi TA. Purdue Control Modules: A flexible set of software modules for an undergraduate process dynamics and control laboratory Computer Applications in Engineering Education. 4: 179-190. DOI: 10.1002/Sici1099-054219964:3<179::Aid-Cae1>3.0.Co;2-A |
0.314 |
|
1996 |
Vaidhyanathan R, Venkatasubramanian V, Dyke FT. Hazopexpert: An expert system for automating HAZOP analysis Process Safety Progress. 15: 80-88. DOI: 10.1002/Prs.680150206 |
0.415 |
|
1995 |
Aoyama A, Doyle FJ, Venkatasubramanian V. Control-affine fuzzy neural network approach for nonlinear process control Journal of Process Control. 5: 375-386. DOI: 10.1016/0959-1524(95)00010-N |
0.367 |
|
1995 |
Aoyama A, Venkatasubramanian V. Internal model control framework using neural networks for the modeling and control of a bioreactor Engineering Applications of Artificial Intelligence. 8: 689-701. DOI: 10.1016/0952-1976(95)00053-4 |
0.345 |
|
1995 |
Aoyama A, Doyle FJ, Venkatasubramanian V. A fuzzy neural-network approach for nonlinear process control Engineering Applications of Artificial Intelligence. 8: 483-498. DOI: 10.1016/0952-1976(95)00038-3 |
0.35 |
|
1995 |
Rengaswamy R, Venkatasubramanian V. A syntactic pattern-recognition approach for process monitoring and fault diagnosis Engineering Applications of Artificial Intelligence. 8: 35-51. DOI: 10.1016/0952-1976(94)00058-U |
0.725 |
|
1995 |
Vaidhyanathan R, Venkatasubramanian V. Digraph-based models for automated HAZOP analysis Reliability Engineering and System Safety. 50: 33-49. DOI: 10.1016/0951-8320(95)00052-4 |
0.411 |
|
1994 |
Kavuri SN, Venkatasubramanian V. Neural network decomposition strategies for large-scale fault diagnosis International Journal of Control. 59: 767-792. DOI: 10.1080/00207179408923104 |
0.366 |
|
1994 |
Kanakamedala KB, Reklaitis GV, Venkatasubramanian V. Reactive schedule modification in multipurpose batch chemical plants Industrial & Engineering Chemistry Research. 33: 77-90. DOI: 10.1021/Ie00025A011 |
0.306 |
|
1994 |
Venkatasubramanian V. Towards Integrated Process Supervision: Current Status and Future Directions Ifac Proceedings Volumes. 27: 9-21. DOI: 10.1016/S1474-6670(17)45840-X |
0.391 |
|
1994 |
Venkatasubramanian V, Vaidhyanathan R. A knowledge‐based framework for automating HAZOP analysis Aiche Journal. 40: 496-505. DOI: 10.1002/Aic.690400311 |
0.411 |
|
1993 |
Kavuri SN, Venkatasubramanian V. Using fuzzy clustering with ellipsoidal units in neural networks for robust fault classification Computers and Chemical Engineering. 17: 765-784. DOI: 10.1016/0098-1354(93)80062-R |
0.366 |
|
1993 |
Kavuri SN, Venkatasubramanian V. Representing bounded fault classes using neural networks with ellipsoidal activation functions Computers and Chemical Engineering. 17: 139-163. DOI: 10.1016/0098-1354(93)80011-B |
0.361 |
|
1992 |
Rengaswamy R, Venkatasubramanian V. An Integrated Framework for Process Monitoring, Diagnosis, and Control using Knowledge-Based Systems and Neural Networks Ifac Proceedings Volumes. 25: 49-54. DOI: 10.1016/S1474-6670(17)50215-3 |
0.714 |
|
1992 |
Vaidyanathan R, Venkatasubramanian V. Representing and diagnosing dynamic process data using neural networks Engineering Applications of Artificial Intelligence. 5: 11-21. DOI: 10.1016/0952-1976(92)90093-Y |
0.397 |
|
1992 |
Vaidyanathan R, Venkatasubramanian V. On the nature of fault space classification structure developed by neural networks Engineering Applications of Artificial Intelligence. 5: 289-297. DOI: 10.1016/0952-1976(92)90037-K |
0.419 |
|
1992 |
Kavuri SN, Venkatasubramanian V. Combining pattern classification and assumption-based techniques for process fault diagnosis Computers and Chemical Engineering. 16: 299-312. DOI: 10.1016/0098-1354(92)80050-J |
0.488 |
|
1991 |
Venkatasubramanian V, Vaidyanathan R. Diagnosing Noisy Process Data using Neural Networks Ifac Proceedings Volumes. 24: 547-552. DOI: 10.1016/S1474-6670(17)51198-2 |
0.349 |
|
1991 |
Janusz ME, Venkatasubramanian V. Automatic generation of qualitative descriptions of process trends for fault detection and diagnosis Engineering Applications of Artificial Intelligence. 4: 329-339. DOI: 10.1016/0952-1976(91)90001-M |
0.444 |
|
1991 |
Androulakis IP, Venkatasubramanian V. A genetic algorithmic framework for process design and optimization Computers and Chemical Engineering. 15: 217-228. DOI: 10.1016/0098-1354(91)85009-J |
0.3 |
|
1990 |
Venkatasubramanian V, Vaidyanathan R, Yamamoto Y. Process fault detection and diagnosis using neural networks-I. steady-state processes Computers and Chemical Engineering. 14: 699-712. DOI: 10.1016/0098-1354(90)87081-Y |
0.441 |
|
1989 |
Rich SH, Venkatasubramanian V, Nasrallah M, Matteo C. Development of a diagnostic expert system for a whipped toppings process Journal of Loss Prevention in the Process Industries. 2: 145-154. DOI: 10.1016/0950-4230(89)80019-1 |
0.352 |
|
1989 |
Venkatasubramanian V, Chan K. A neural network methodology for process fault diagnosis Aiche Journal. 35: 1993-2002. DOI: 10.1002/Aic.690351210 |
0.475 |
|
1989 |
Rich SH, Venkatasubramanian V. Causality‐based failure‐driven learning in diagnostic expert systems Aiche Journal. 35: 943-950. DOI: 10.1002/Aic.690350607 |
0.347 |
|
1988 |
Venkatasubramanian V. Towards a specialized shell for diagnostic expert systems for chemical plant Journal of Loss Prevention in the Process Industries. 1: 84-91. DOI: 10.1016/0950-4230(88)80017-2 |
0.447 |
|
1988 |
Venkatasubramanian V, Rich SH. An object-oriented two-tier architecture for integrating compiled and deep-level knowledge for process diagnosis Computers and Chemical Engineering. 12: 903-921. DOI: 10.1016/0098-1354(88)87017-0 |
0.42 |
|
1987 |
Rich SH, Venkatasubramanian V. Model-based reasoning in diagnostic expert systems for chemical process plants Computers and Chemical Engineering. 11: 111-122. DOI: 10.1016/0098-1354(87)80012-1 |
0.493 |
|
1986 |
Venkatasubramanian V, Chen CF. A blackboard architecture for plastics design Artificial Intelligence in Engineering. 1: 117-122. DOI: 10.1016/0954-1810(86)90056-7 |
0.32 |
|
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