Year |
Citation |
Score |
2022 |
Patil S, Eapen DE, Suresh R, Kane NU, Rengaswamy R. Perspective on Radiolytic Charging for Redox Flow Battery Electrolytes Using the Nuclear Decay Energy of Spent Nuclear Fuel/Radionuclides. Acs Omega. 7: 40775-40781. PMID 36406572 DOI: 10.1021/acsomega.2c02581 |
0.69 |
|
2020 |
Prakash O, Bhushan M, Narasimhan S, Rengaswamy R. Sensor network design based on system-wide reliability criteria. Part I: Objectives Journal of Process Control. 93: 66-82. DOI: 10.1016/J.Jprocont.2020.07.007 |
0.617 |
|
2020 |
Prakash O, Bhushan M, Narasimhan S, Rengaswamy R. Sensor network design based on system-wide reliability criteria. Part II: Formulations and applications Journal of Process Control. 93: 14-27. DOI: 10.1016/J.Jprocont.2020.07.004 |
0.622 |
|
2020 |
Suresh R, Swaminathan S, Rengaswamy R. Rapid impedance spectroscopy using dual phase shifted chirp signals for electrochemical applications International Journal of Hydrogen Energy. 45: 10536-10548. DOI: 10.1016/J.Ijhydene.2019.10.031 |
0.721 |
|
2019 |
Danny Raj M, Gnanasekaran A, Rengaswamy R. On the role of hydrodynamic interactions in the engineered-assembly of droplet ensembles. Soft Matter. PMID 31531495 DOI: 10.1039/C9Sm01528K |
0.32 |
|
2019 |
Ullah MF, Das L, Parmar S, Rengaswamy R, Srinivasan B. On developing a framework for detection of oscillations in data. Isa Transactions. PMID 30678875 DOI: 10.1016/J.Isatra.2018.12.026 |
0.335 |
|
2019 |
S M, Rengaswamy R. Hierarchical Multilabel Segmentation for System Identification Using Historical Data Industrial & Engineering Chemistry Research. 58: 11303-11315. DOI: 10.1021/Acs.Iecr.8B06335 |
0.344 |
|
2019 |
Suresh R, Sankaran G, Joopudi S, Choudhury SR, Narasimhan S, Rengaswamy R. Optimal power distribution control for a network of fuel cell stacks Journal of Process Control. 74: 88-98. DOI: 10.1016/J.Jprocont.2017.12.006 |
0.732 |
|
2019 |
Raman S, Swaminathan S, Bhardwaj S, Tanneru HK, Bullecks B, Rengaswamy R. Rapid humidity regulation by mixing of dry and humid gases with feedback control for PEM fuel cells International Journal of Hydrogen Energy. 44: 389-407. DOI: 10.1016/J.Ijhydene.2018.04.187 |
0.32 |
|
2019 |
Chinta S, Sivaram A, Rengaswamy R. Prediction error-based clustering approach for multiple-model learning using statistical testing Engineering Applications of Artificial Intelligence. 77: 125-135. DOI: 10.1016/J.Engappai.2018.09.012 |
0.375 |
|
2018 |
Das L, Kumar G, Rengaswamy R, Srinivasan B. A novel approach for benchmarking and assessing the performance of state estimators. Isa Transactions. PMID 29958650 DOI: 10.1016/J.Isatra.2018.06.005 |
0.346 |
|
2018 |
Suresh R, Rengaswamy R. Modeling and control of battery systems. Part II: A model predictive controller for optimal charging Computers & Chemical Engineering. 119: 326-335. DOI: 10.1016/J.Compchemeng.2018.08.017 |
0.731 |
|
2018 |
Suresh R, Rengaswamy R. Modeling and control of battery systems. Part I: Revisiting Butler–Volmer equations to model non-linear coupling of various capacity fade mechanisms Computers & Chemical Engineering. 119: 336-351. DOI: 10.1016/J.Compchemeng.2018.08.016 |
0.731 |
|
2017 |
Danny Raj M, Rengaswamy R. Averaged model for probabilistic coalescence avalanches in two-dimensional emulsions: Insights into uncertainty propagation. Physical Review. E. 95: 032608. PMID 28415172 DOI: 10.1103/Physreve.95.032608 |
0.334 |
|
2017 |
Spinner T, Srinivasan B, Rengaswamy R. On the Detection of Valve Nonlinearities in Otherwise Linear Closed-Loop Systems Ieee Transactions On Automatic Control. 62: 955-960. DOI: 10.1109/Tac.2016.2592690 |
0.346 |
|
2017 |
Raman S, Iyeswaria K, Narasimhan S, Rengaswamy R. Effects of water induced pore blockage and mitigation strategies in low temperature PEM fuel cells – A simulation study International Journal of Hydrogen Energy. 42: 23799-23813. DOI: 10.1016/J.Ijhydene.2017.03.174 |
0.59 |
|
2017 |
Bullecks B, Suresh R, Rengaswamy R. Rapid impedance measurement using chirp signals for electrochemical system analysis Computers & Chemical Engineering. 106: 421-436. DOI: 10.1016/J.Compchemeng.2017.05.018 |
0.741 |
|
2017 |
Tanneru HK, Suresh R, Rengaswamy R. On modeling and optimization of micro-photosynthetic power cells Computers & Chemical Engineering. 107: 284-293. DOI: 10.1016/J.Compchemeng.2017.02.015 |
0.732 |
|
2017 |
Munusamy S, Mobed P, Bhattacharyya D, Rengaswamy R. An improved scaling procedure for analysis and simplification of process models Chemical Engineering Research and Design. 120: 410-422. DOI: 10.1016/J.Cherd.2017.02.026 |
0.557 |
|
2017 |
Das L, Rengaswamy R, Srinivasan B. Data mining and control loop performance assessment: The multivariate case Aiche Journal. 63: 3311-3328. DOI: 10.1002/Aic.15689 |
0.371 |
|
2016 |
Tanneru HK, Suresh R, Ramanan AV, Mehdi S, Packirisamy M, Pillay P, Williamson S, Juneau P, Rengaswamy R. Micro photosynthetic cell for power generation from algae: Bio-electrochemical modeling and verification Technology. 4: 249-258. DOI: 10.1142/S2339547816500114 |
0.738 |
|
2016 |
Mobed P, Munusamy S, Bhattacharyya D, Rengaswamy R. State and Parameter Estimation in Distributed Constrained Systems. 2. GA-EKF Based Sensor Placement for a Water Gas Shift Reactor Industrial & Engineering Chemistry Research. 56: 216-224. DOI: 10.1021/Acs.Iecr.6B02797 |
0.562 |
|
2016 |
Mobed P, Munusamy S, Bhattacharyya D, Rengaswamy R. State and Parameter Estimation in Distributed Constrained Systems. 1. Extended Kalman Filtering of a Special Class of Differential-Algebraic Equation Systems Industrial & Engineering Chemistry Research. 56: 206-215. DOI: 10.1021/Acs.Iecr.6B02796 |
0.536 |
|
2016 |
Pednekar P, Bhattacharyya D, Kasule JS, Turton R, Rengaswamy R. Dynamic Model of a Slagging Entrained-Flow Gasifier Including Models of Slag Transport, Deposition, and Slag Layer Industrial and Engineering Chemistry Research. 55: 279-292. DOI: 10.1021/Acs.Iecr.5B03317 |
0.516 |
|
2016 |
Spinner T, Srinivasan B, Rengaswamy R. Optimal back-off point determination and controller weight selection for multivariate systems under finite-horizon control Journal of Process Control. 40: 134-145. DOI: 10.1016/J.Jprocont.2016.01.008 |
0.364 |
|
2016 |
Suresh R, Kumar Tanneru H, Rengaswamy R. Modeling of rechargeable batteries Current Opinion in Chemical Engineering. 13: 63-74. DOI: 10.1016/J.Coche.2016.08.005 |
0.744 |
|
2016 |
Suresh R, Sankaran G, Joopudi S, Choudhury SR, Narasimhan S, Rengaswamy R. Optimal Power Sharing Control in Networked Fuel Cell Stacks Computer-Aided Chemical Engineering. 38: 1761-1766. DOI: 10.1016/B978-0-444-63428-3.50298-8 |
0.745 |
|
2016 |
Pednekar P, Bhattacharyya D, Kasule JS, Turton R, Rengaswamy R. Development of a hybrid shrinking-core shrinking-particle model for entrained-flow gasifiers Aiche Journal. 62: 659-669. DOI: 10.1002/Aic.15055 |
0.496 |
|
2016 |
Das L, Srinivasan B, Rengaswamy R. A novel framework for integrating data mining with control loop performance assessment Aiche Journal. 62: 146-165. DOI: 10.1002/Aic.15042 |
0.374 |
|
2015 |
De Beer C, Barendse PS, Pillay P, Bullecks B, Rengaswamy R. Classification of high-temperature PEM fuel cell degradation mechanisms using equivalent circuits Ieee Transactions On Industrial Electronics. 62: 5265-5274. DOI: 10.1109/Tie.2015.2393292 |
0.318 |
|
2015 |
De Beer C, Barendse PS, Pillay P, Bullecks B, Rengaswamy R. Online diagnostics of HTPEM fuel cells using small amplitude transient analysis for CO poisoning Ieee Transactions On Industrial Electronics. 62: 5175-5186. DOI: 10.1109/Tie.2014.2377131 |
0.382 |
|
2015 |
De Beer C, Barendse PS, Pillay P, Bullecks B, Rengaswamy R. Electrical circuit analysis of CO poisoning in high-temperature PEM fuel cells for fault diagnostics and mitigation Ieee Transactions On Industry Applications. 51: 619-630. DOI: 10.1109/Tia.2014.2328786 |
0.383 |
|
2015 |
Das L, Srinivasan B, Rengaswamy R. Multivariate Control Loop Performance Assessment With Hurst Exponent and Mahalanobis Distance Ieee Transactions On Control Systems Technology. DOI: 10.1109/Tcst.2015.2468087 |
0.399 |
|
2015 |
Srinivasan B, Spinner T, Rengaswamy R. A New Measure to Improve the Reliability of Stiction Detection Techniques Industrial and Engineering Chemistry Research. 54: 7476-7488. DOI: 10.1021/Acs.Iecr.5B00939 |
0.416 |
|
2015 |
Mobed P, Maddala J, Pednekar P, Bhattacharyya D, Rengaswamy R. Optimal Sensor Placement for Fault Diagnosis Using Magnitude Ratio Industrial and Engineering Chemistry Research. 54: 9369-9381. DOI: 10.1021/Acs.Iecr.5B00482 |
0.599 |
|
2015 |
Srinivasan B, Nallasivam U, Rengaswamy R. An integrated approach for oscillation diagnosis in linear closed loop systems Chemical Engineering Research and Design. 93: 483-495. DOI: 10.1016/J.Cherd.2014.07.004 |
0.391 |
|
2014 |
Mobed P, Maddala J, Rengaswamy R, Bhattacharyya D, Turton R. Data Reconciliation and Dynamic Modeling of a Sour Water Gas Shift Reactor Industrial & Engineering Chemistry Research. 53: 19855-19869. DOI: 10.1021/Ie500739H |
0.522 |
|
2014 |
Spinner T, Srinivasan B, Rengaswamy R. Data-based automated diagnosis and iterative retuning of proportional-integral (PI) controllers Control Engineering Practice. 29: 23-41. DOI: 10.1016/J.Conengprac.2014.03.005 |
0.388 |
|
2014 |
Maddala J, Rengaswamy R. Design of multi-functional microfluidic ladder networks to passively control droplet spacing using genetic algorithms Computers & Chemical Engineering. 60: 413-425. DOI: 10.1016/J.Compchemeng.2013.09.009 |
0.339 |
|
2014 |
Palleti VR, Narasimhan S, Rengaswamy R. Optimal sensor placement for contamination detection and identification in water distribution networks Computer Aided Chemical Engineering. 33: 1447-1452. DOI: 10.1016/B978-0-444-63455-9.50076-3 |
0.302 |
|
2013 |
Rengaswamy R, Narasimhan S, Kuppuraj V. Receding-horizon Nonlinear Kalman (RNK) filter for state estimation Ieee Transactions On Automatic Control. 58: 2054-2059. DOI: 10.1109/Tac.2013.2253271 |
0.347 |
|
2013 |
Maddala J, Rengaswamy R. Droplet digital signal generation in microfluidic networks using model predictive control Journal of Process Control. 23: 132-139. DOI: 10.1016/J.Jprocont.2012.08.014 |
0.345 |
|
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 |
0.632 |
|
2012 |
Srinivasan B, Spinner T, Rengaswamy R. A reliability measure for model based stiction detection approaches Ifac Proceedings Volumes. 45: 750-755. DOI: 10.3182/20120710-4-Sg-2026.00095 |
0.39 |
|
2012 |
Modekurti S, Bullecks B, Bhattacharyya D, Rengaswamy R. Modeling Studies of a Cylindrical Polymer Electrolyte Membrane Fuel Cell Cathode Industrial & Engineering Chemistry Research. 51: 5003-5010. DOI: 10.1021/Ie2028359 |
0.54 |
|
2012 |
Babji S, Nallasivam U, Rengaswamy R. Root Cause Analysis of Linear Closed-Loop Oscillatory Chemical Process Systems Industrial & Engineering Chemistry Research. 51: 13712-13731. DOI: 10.1021/Ie2024323 |
0.408 |
|
2012 |
Mandela R, Kuppuraj V, Rengaswamy R, Narasimhan S. Constrained unscented recursive estimator for nonlinear dynamic systems Journal of Process Control. 22: 718-728. DOI: 10.1016/J.Jprocont.2012.02.001 |
0.624 |
|
2012 |
Srinivasarao M, Bhattacharyya D, Rengaswamy R. Optimization studies of a polymer electrolyte membrane fuel cell with multiple catalyst layers Journal of Power Sources. 206: 197-203. DOI: 10.1016/J.Jpowsour.2012.01.135 |
0.529 |
|
2012 |
Srinivasan B, Rengaswamy R. Automatic oscillation detection and characterization in closed-loop systems Control Engineering Practice. 20: 733-746. DOI: 10.1016/J.Conengprac.2012.02.008 |
0.363 |
|
2012 |
Srinivasan B, Spinner T, Rengaswamy R. Control loop performance assessment using detrended fluctuation analysis (DFA) Automatica. 48: 1359-1363. DOI: 10.1016/J.Automatica.2012.04.003 |
0.371 |
|
2012 |
Maddala J, Rengaswamy R. A Genetic Algorithm (GA) based rational approach for design of discrete microfluidic networks Computer-Aided Chemical Engineering. 30: 507-511. DOI: 10.1016/B978-0-444-59519-5.50102-7 |
0.308 |
|
2012 |
Maddala J, Rengaswamy R. Modeling and Control Challenges in the development of Discrete Microfluidic Devices Computer-Aided Chemical Engineering. 31: 1231-1235. DOI: 10.1016/B978-0-444-59506-5.50077-8 |
0.301 |
|
2012 |
Kotecha P, Bhushan M, Gudi R, Narasimhan S, Rengaswamy R. Constraint Programming based Input Signal Design for System Identification Computer-Aided Chemical Engineering. 31: 965-969. DOI: 10.1016/B978-0-444-59506-5.50024-9 |
0.329 |
|
2012 |
Kuppuraj V, Rengaswamy R. Evaluation of prediction error based fuzzy model clustering approaches for multiple model learning International Journal of Advances in Engineering Sciences and Applied Mathematics. 4: 10-21. DOI: 10.1007/S12572-012-0058-Y |
0.35 |
|
2011 |
Maddala J, Vanapalli SA, Rengaswamy R. Sort-synchronization control in microfluidic loop devices with experimental uncertainties using a model predictive control (MPC) framework Ifac Proceedings Volumes. 44: 4886-4891. DOI: 10.3182/20110828-6-It-1002.03342 |
0.307 |
|
2011 |
Srinivasan B, Nallasivam U, Rengaswamy R. Diagnosis of root cause for oscillations in closed-loop chemical process systems Ifac Proceedings Volumes. 44: 13145-13150. DOI: 10.3182/20110828-6-It-1002.01227 |
0.387 |
|
2011 |
Narasimhan S, Rengaswamy R. Plant Friendly Input Design: Convex Relaxation and Quality Ieee Transactions On Automatic Control. 56: 1467-1472. DOI: 10.1109/Tac.2011.2132290 |
0.591 |
|
2011 |
Nallasivam U, Srinivasan B, Kuppuraj V, Karim MN, Rengaswamy R. Computationally Efficient Identification of Global ARX Parameters With Guaranteed Stability Ieee Transactions On Automatic Control. 56: 1406-1411. DOI: 10.1109/Tac.2011.2132250 |
0.392 |
|
2011 |
Narasimhan S, Srikanth SA, Sreeram JVN, Rengaswamy R. Optimal plant friendly input design for system identification Industrial and Engineering Chemistry Research. 50: 13045-13055. DOI: 10.1021/Ie200472S |
0.589 |
|
2011 |
Bullecks B, Rengaswamy R, Bhattacharyya D, Campbell G. Development of a cylindrical PEM fuel cell International Journal of Hydrogen Energy. 36: 713-719. DOI: 10.1016/J.Ijhydene.2010.09.079 |
0.528 |
|
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 |
0.681 |
|
2011 |
Srinivasarao M, Bhattacharyya D, Rengaswamy R, Narasimhan S. Multivariable optimization studies of cathode catalyst layer of a polymer electrolyte membrane fuel cell Chemical Engineering Research and Design. 89: 10-22. DOI: 10.1016/J.Cherd.2010.04.020 |
0.67 |
|
2011 |
Rengaswamy R, Narasimhan S, Kuppuraj V. Receding Nonlinear Kalman (RNK) Filter for Nonlinear Constrained State Estimation Computer-Aided Chemical Engineering. 29: 844-848. DOI: 10.1016/B978-0-444-53711-9.50169-3 |
0.377 |
|
2011 |
Maddala J, Srinivasan B, Bithi SS, Vanapalli SA, Rengaswamy R. Design of a model-based feedback controller for active sorting and synchronization of droplets in a microfluidic loop Aiche Journal. 58: 2120-2130. DOI: 10.1002/Aic.12740 |
0.316 |
|
2010 |
Nallasivam U, Babji S, Rengaswamy R. Stiction identification in nonlinear process control loops Computers & Chemical Engineering. 34: 1890-1898. DOI: 10.3182/20090712-4-Tr-2008.00112 |
0.406 |
|
2010 |
Gebregergis A, Pillay P, Rengaswamy R. PEMFC Fault Diagnosis, Modeling, and Mitigation Ieee Transactions On Industry Applications. 46: 295-303. DOI: 10.1109/Tia.2009.2036677 |
0.382 |
|
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 |
0.657 |
|
2010 |
Bhattacharyya D, Rengaswamy R. System identification and nonlinear model predictive control of a solid oxide fuel cell Industrial and Engineering Chemistry Research. 49: 4800-4808. DOI: 10.1021/Ie9020254 |
0.586 |
|
2010 |
Deshpande S, Patwardhan SC, Methekar R, Rengaswamy R. Development of a Closed Form Nonlinear Predictive Control Law Based on a Class of Wiener Models Industrial & Engineering Chemistry Research. 49: 148-165. DOI: 10.1021/Ie801284B |
0.38 |
|
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 |
0.678 |
|
2010 |
Srinivasarao M, Bhattacharyya D, Rengaswamy R, Narasimhan S. Parametric study of the cathode and the role of liquid saturation on the performance of a polymer electrolyte membrane fuel cell-A numerical approach Journal of Power Sources. 195: 6782-6794. DOI: 10.1016/J.Jpowsour.2010.03.003 |
0.67 |
|
2010 |
Srinivasarao M, Bhattacharyya D, Rengaswamy R, Narasimhan S. Performance analysis of a PEM fuel cell cathode with multiple catalyst layers Renewable Energy. 35: 6356-6365. DOI: 10.1016/J.Ijhydene.2010.03.092 |
0.664 |
|
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 |
0.679 |
|
2010 |
Bhattacharyya D, Rengaswamy R. Dimensional optimization of a tubular solid oxide fuel cell Computers & Chemical Engineering. 34: 1789-1802. DOI: 10.1016/J.Compchemeng.2010.02.030 |
0.555 |
|
2010 |
Methekar R, Patwardhan S, Rengaswamy R, Gudi R, Prasad V. Control of proton exchange membrane fuel cells using data driven state space models Chemical Engineering Research and Design. 88: 861-874. DOI: 10.1016/J.Cherd.2009.12.001 |
0.4 |
|
2010 |
Kumar Mandela R, Rengaswamy R, Narasimhan S, Sridhar LN. Recursive state estimation techniques for nonlinear differential algebraic systems Chemical Engineering Science. 65: 4548-4556. DOI: 10.1016/J.Ces.2010.04.020 |
0.343 |
|
2009 |
Narasimhan S, Rengaswamy R, Vadigepalli R. Structural properties of gene regulatory networks: definitions and connections. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 6: 158-70. PMID 19179709 DOI: 10.1109/Tcbb.2007.70231 |
0.58 |
|
2009 |
Mandela RK, Rengaswamy R, Narasimhan S. Nonlinear State Estimation of Differential Algebraic Systems Ifac Proceedings Volumes. 42: 792-797. DOI: 10.3182/20090712-4-Tr-2008.00129 |
0.305 |
|
2009 |
Bhattacharyya D, Rengaswamy R. A review of solid oxide fuel cell (SOFC) dynamic models Industrial and Engineering Chemistry Research. 48: 6068-6086. DOI: 10.1021/Ie801664J |
0.557 |
|
2009 |
Narasimhan S, Rengaswamy R. Reply to Comments on "Robust and reliable estimation via unscented recursive nonlinear dynamic data reconciliation" (URNDDR) Journal of Process Control. 19: 719-721. DOI: 10.1016/J.Jprocont.2008.08.002 |
0.312 |
|
2009 |
Bhattacharyya D, Rengaswamy R. Transport, sensitivity, and dimensional optimization studies of a tubular Solid Oxide Fuel Cell Journal of Power Sources. 190: 499-510. DOI: 10.1016/J.Jpowsour.2008.12.084 |
0.534 |
|
2009 |
Bhattacharyya D, Rengaswamy R, Finnerty C. Dynamic modeling and validation studies of a tubular solid oxide fuel cell Chemical Engineering Science. 64: 2158-2172. DOI: 10.1016/J.Ces.2008.12.040 |
0.568 |
|
2008 |
Bhushan M, Narasimhan S, Rengaswamy R. Robust sensor network design for fault diagnosis Computers & Chemical Engineering. 32: 1067-1084. DOI: 10.1016/J.Compchemeng.2007.06.020 |
0.621 |
|
2008 |
Srinivasan R, Rengaswamy R. Approaches for efficient stiction compensation in process control valves Computers & Chemical Engineering. 32: 218-229. DOI: 10.1016/J.Compchemeng.2007.05.005 |
0.792 |
|
2008 |
Narasimhan S, Vachhani P, Rengaswamy R. New nonlinear residual feedback observer for fault diagnosis in nonlinear systems Automatica. 44: 2222-2229. DOI: 10.1016/J.Automatica.2007.12.020 |
0.805 |
|
2007 |
Vachhani P, Narasimhan S, Rengaswamy R. An Integrated Qualitative–Quantitative Hypothesis Driven Approach for Comprehensive Fault Diagnosis Chemical Engineering Research and Design. 85: 1281-1294. DOI: 10.1205/Cherd07016 |
0.81 |
|
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 |
0.681 |
|
2007 |
Rao RM, Bhattacharyya D, Rengaswamy R, Choudhury SR. A two-dimensional steady state model including the effect of liquid water for a PEM fuel cell cathode Journal of Power Sources. 173: 375-393. DOI: 10.1016/J.Jpowsour.2007.04.053 |
0.538 |
|
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 |
0.688 |
|
2007 |
Srinivasan R, Rengaswamy R, Miller R. A modified empirical mode decomposition (EMD) process for oscillation characterization in control loops Control Engineering Practice. 15: 1135-1148. DOI: 10.1016/J.Conengprac.2007.01.014 |
0.782 |
|
2007 |
Bhattacharyya D, Rengaswamy R, Finnerty C. Isothermal models for anode-supported tubular solid oxide fuel cells Chemical Engineering Science. 62: 4250-4267. DOI: 10.1016/J.Ces.2007.04.020 |
0.555 |
|
2007 |
Narasimhan S, Rengaswamy R. Quantification of performance of sensor networks for fault diagnosis Aiche Journal. 53: 902-917. DOI: 10.1002/Aic.11105 |
0.618 |
|
2006 |
Srinivasan R, Maurya M, Rengaswamy R. ROOT CAUSE ANALYSIS OF OSCILLATING CONTROL LOOPS Ifac Proceedings Volumes. 39: 1151-1156. DOI: 10.3182/20060402-4-Br-2902.01151 |
0.779 |
|
2006 |
Narasimhan S, Rengaswamy R. MULTIOBJECTIVE INPUT DESIGN FOR SYSTEM IDENTIFICATION- FREQUENCY SELECTION FOR IDENTIFICATION OF NONLINEAR SYSTEMS Ifac Proceedings Volumes. 39: 1139-1144. DOI: 10.3182/20060329-3-Au-2901.00183 |
0.596 |
|
2006 |
Madhusudana Rao R, Rengaswamy R. Optimization Study of an Agglomerate Model for Platinum Reduction and Performance in PEM Fuel Cell Cathode Chemical Engineering Research and Design. 84: 952-964. DOI: 10.1205/Cherd06018 |
0.338 |
|
2006 |
Ruiz G, Sridhar LN, Rengaswamy R. Isothermal Isobaric Reactive Flash Problem Industrial & Engineering Chemistry Research. 45: 6548-6554. DOI: 10.1021/Ie060249A |
0.316 |
|
2006 |
Srinivasan R, Rengaswamy R. Integrating stiction diagnosis and stiction compensation in process control valves Computer-Aided Chemical Engineering. 21: 1233-1238. DOI: 10.1016/S1570-7946(06)80215-4 |
0.781 |
|
2006 |
Rao RM, Oh T, Rengaswamy R. Scope for process systems engineering studies in proton exchange membrane fuel cells (PEMFC): A review of opportunities Computer-Aided Chemical Engineering. 21: 835-840. DOI: 10.1016/S1570-7946(06)80149-5 |
0.342 |
|
2006 |
Vachhani P, Narasimhan S, Rengaswamy R. Robust and reliable estimation via Unscented Recursive Nonlinear Dynamic Data Reconciliation Journal of Process Control. 16: 1075-1086. DOI: 10.1016/J.Jprocont.2006.07.002 |
0.761 |
|
2006 |
Choudhury SR, Rengaswamy R. Characterization and fault diagnosis of PAFC cathode by EIS technique and a novel mathematical model approach Journal of Power Sources. 161: 971-986. DOI: 10.1016/J.Jpowsour.2006.05.005 |
0.371 |
|
2006 |
Madhusudana Rao R, Rengaswamy R. Dynamic characteristics of spherical agglomerate for study of cathode catalyst layers in proton exchange membrane fuel cells (PEMFC) Journal of Power Sources. 158: 110-123. DOI: 10.1016/J.Jpowsour.2005.09.043 |
0.316 |
|
2006 |
Madhusudana Rao R, Rengaswamy R. A distributed dynamic model for chronoamperometry, chronopotentiometry and gas starvation studies in PEM fuel cell cathode Chemical Engineering Science. 61: 7393-7409. DOI: 10.1016/J.Ces.2006.06.021 |
0.31 |
|
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 |
0.688 |
|
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 |
0.679 |
|
2005 |
Srinivasan R, Rengaswamy R. Stiction Compensation in Process Control Loops: A Framework for Integrating Stiction Measure and Compensation Industrial & Engineering Chemistry Research. 44: 9164-9174. DOI: 10.1021/Ie050748W |
0.798 |
|
2005 |
Srinivasan R, Rengaswamy R, Miller R. Control Loop Performance Assessment. 1. A Qualitative Approach for Stiction Diagnosis Industrial & Engineering Chemistry Research. 44: 6708-6718. DOI: 10.1021/Ie0490280 |
0.38 |
|
2005 |
Srinivasan R, Rengaswamy R, Narasimhan S, Miller R. Control Loop Performance Assessment. 2. Hammerstein Model Approach for Stiction Diagnosis Industrial & Engineering Chemistry Research. 44: 6719-6728. DOI: 10.1021/Ie049026F |
0.808 |
|
2005 |
Rao RM, Rengaswamy R. A dynamic spherical agglomerate model for proton exchange membrane fuel cells (PEMFC) Computer-Aided Chemical Engineering. 20: 541-546. DOI: 10.1016/S1570-7946(05)80212-3 |
0.364 |
|
2005 |
CHOUDHURY S, CHOUDHURY S, RANGARAJAN J, RENGASWAMY R. Step response analysis of phosphoric acid fuel cell (PAFC) cathode through a transient model Journal of Power Sources. 140: 274-279. DOI: 10.1016/J.Jpowsour.2004.07.035 |
0.331 |
|
2005 |
Vachhani P, Rengaswamy R, Gangwal V, Narasimhan S. Recursive estimation in constrained nonlinear dynamical systems Aiche Journal. 51: 946-959. DOI: 10.1002/Aic.10355 |
0.779 |
|
2004 |
Madhusudana Rao R, Rengaswamy R, Suresh AK, Balaraman KS. Industrial experience with object-oriented modelling: FCC case study Chemical Engineering Research and Design. 82: 527-552. DOI: 10.1205/026387604323050245 |
0.363 |
|
2004 |
Vachhani P, Narasimhan S, Rengaswamy R. Nonlinear Residual Feedback Observer for Process Fault Diagnosis Ifac Proceedings Volumes. 37: 571-575. DOI: 10.1016/S1474-6670(17)31870-0 |
0.799 |
|
2004 |
Vachhani P, Narasimhan S, Rengaswamy R. Robust Constrained Estimation via Unscented Transformation Ifac Proceedings Volumes. 37: 317-322. DOI: 10.1016/S1474-6670(17)31830-X |
0.758 |
|
2004 |
Bhushan M, Rengaswamy R. Lexicographic Optimization Based Sensor Network Design for Robust Fault Diagnosis Ifac Proceedings Volumes. 37: 215-220. DOI: 10.1016/S1474-6670(17)31814-1 |
0.381 |
|
2004 |
Narasimhan S, Rengaswamy R. Multi-Objective Input Signal Design of Multi-Harmonic Signals for System Identification Ifac Proceedings Volumes. 37: 17-22. DOI: 10.1016/S1474-6670(17)31787-1 |
0.568 |
|
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 |
0.691 |
|
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 |
0.666 |
|
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 |
0.66 |
|
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 |
0.652 |
|
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 |
0.678 |
|
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 |
0.686 |
|
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 |
0.679 |
|
2003 |
Narasimhan S, Srinivasan R, Rengaswamy R. Multi-objective input signal design for plant-friendly identification Ifac Proceedings Volumes. 36: 897-902. DOI: 10.1016/S1474-6670(17)34874-7 |
0.776 |
|
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 |
0.69 |
|
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 |
0.692 |
|
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 |
0.674 |
|
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 |
0.702 |
|
2002 |
Bhushan M, Rengaswamy R. Comprehensive Design of a Sensor Network for Chemical Plants Based on Various Diagnosability and Reliability Criteria. 1. Framework Industrial & Engineering Chemistry Research. 41: 1826-1839. DOI: 10.1021/Ie0104363 |
0.403 |
|
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 |
0.69 |
|
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 |
0.684 |
|
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 |
0.689 |
|
2001 |
Bhushan M, Rengaswamy R. A Framework for Sensor Network Design for Efficient and Reliable Fault Diagnosis Ifac Proceedings Volumes. 34: 29-40. DOI: 10.1016/S1474-6670(17)33565-6 |
0.39 |
|
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 |
0.679 |
|
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 |
0.671 |
|
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 |
0.797 |
|
2000 |
Bhushan M, Rengaswamy R. Design of Sensor Network Based on the Signed Directed Graph of the Process for Efficient Fault Diagnosis Industrial & Engineering Chemistry Research. 39: 999-1019. DOI: 10.1021/Ie990383D |
0.383 |
|
2000 |
Sarma P, Rengaswamy R. Multivariable gain-scheduled fuzzy logic control of a fluidized catalytic cracker unit Computers and Chemical Engineering. 24: 1083-1089. DOI: 10.1016/S0098-1354(00)00487-7 |
0.339 |
|
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 |
0.691 |
|
2000 |
Bhushan M, Rengaswamy R. Design of sensor location based on various fault diagnostic observability and reliability criteria Computers & Chemical Engineering. 24: 735-741. DOI: 10.1016/S0098-1354(00)00331-8 |
0.392 |
|
1999 |
Srinivasan R, Rengaswamy R. Use of Inverse Repeat Sequence (IRS) for Identification in Chemical Process Systems Industrial & Engineering Chemistry Research. 38: 3420-3429. DOI: 10.1021/Ie980761Z |
0.338 |
|
1999 |
Raghuraj R, Bhushan M, Rengaswamy R. Locating sensors in complex chemical plants based on fault diagnostic observability criteria Aiche Journal. 45: 310-322. DOI: 10.1002/Aic.690450212 |
0.411 |
|
1997 |
Venkatesh KV, Doshi P, Rengaswamy R. An optimal strategy to model microbial growth in a multiple substrate environment. Biotechnology and Bioengineering. 56: 635-44. PMID 18642335 DOI: 10.1002/(Sici)1097-0290(19971220)56:6<635::Aid-Bit6>3.0.Co;2-O |
0.309 |
|
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 |
0.662 |
|
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 |
0.662 |
|
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