Venkat Venkatasubramanian
Venkat Venkatasubramanian
Samuel Ruben-Peter G. Viele Professor of Engineering, Columbia University
Bekræftet mail på columbia.edu - Startside
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A review of process fault detection and diagnosis: Part I: Quantitative model-based methods
V Venkatasubramanian, R Rengaswamy, K Yin, SN Kavuri
Computers & chemical engineering 27 (3), 293-311, 2003
31532003
A review of process fault detection and diagnosis: Part II: Qualitative Models and Search Strategies
V Venkatasubramanian, R Rengaswamy, SN Kavuri
Computers & Chemical Engineering 27 (3), 313-326, 2003
2460*2003
A neural network methodology for process fault diagnosis
V Venkatasubramanian, K Chan
AIChE Journal 35 (12), 1993-2002, 1989
5211989
Process fault detection and diagnosis using neural networks—I. Steady-state processes
V Venkatasubramanian, R Vaidyanathan, Y Yamamoto
Computers & Chemical Engineering 14 (7), 699-712, 1990
3161990
Computer-aided molecular design using genetic algorithms
V Venkatasubramanian, K Chan, JM Caruthers
Computers & Chemical Engineering 18 (9), 833-844, 1994
283*1994
Challenges in the industrial applications of fault diagnostic systems
S Dash, V Venkatasubramanian
Computers & chemical engineering 24 (2-7), 785-791, 2000
2412000
Intelligent systems for HAZOP analysis of complex process plants
V Venkatasubramanian, J Zhao, S Viswanathan
Computers & Chemical Engineering 24 (9-10), 2291-2302, 2000
2242000
Sulfur vulcanization of natural rubber for benzothiazole accelerated formulations: from reaction mechanisms to a rational kinetic model
P Ghosh, S Katare, P Patkar, JM Caruthers, V Venkatasubramanian, ...
Rubber Chemistry and technology 76 (3), 592-693, 2003
2182003
A syntactic pattern-recognition approach for process monitoring and fault diagnosis
R Rengaswamy, V Venkatasubramanian
Engineering Applications of Artificial Intelligence 8 (1), 35-51, 1995
2021995
Computer aided molecular design: theory and practice
L Achenie, V Venkatasubramanian, R Gani
Elsevier, 2002
1852002
Automatic generation of qualitative descriptions of process trends for fault detection and diagnosis
ME Janusz, V Venkatasubramanian
Engineering Applications of Artificial Intelligence 4 (5), 329-339, 1991
1841991
PCA-SDG based process monitoring and fault diagnosis
H Vedam, V Venkatasubramanian
Control engineering practice 7 (7), 903-917, 1999
1741999
Fuzzy-logic based trend classification for fault diagnosis of chemical processes
S Dash, R Rengaswamy, V Venkatasubramanian
Computers & Chemical Engineering 27 (3), 347-362, 2003
1732003
Fault diagnosis using dynamic trend analysis: A review and recent developments
MR Maurya, R Rengaswamy, V Venkatasubramanian
Engineering Applications of artificial intelligence 20 (2), 133-146, 2007
1692007
A genetic algorithmic framework for process design and optimization
IP Androulakis, V Venkatasubramanian
Computers & chemical engineering 15 (4), 217-228, 1991
1681991
Model-based reasoning in diagnostic expert systems for chemical process plants
SH Rich, V Venkatasubramanian
Computers & Chemical Engineering 11 (2), 111-122, 1987
1681987
Application of signed digraphs-based analysis for fault diagnosis of chemical process flowsheets
MR Maurya, R Rengaswamy, V Venkatasubramanian
Engineering Applications of Artificial Intelligence 17 (5), 501-518, 2004
1662004
A hybrid genetic algorithm for efficient parameter estimation of large kinetic models
S Katare, A Bhan, JM Caruthers, WN Delgass, V Venkatasubramanian
Computers & chemical engineering 28 (12), 2569-2581, 2004
1562004
Evolutionary design of molecules with desired properties using the genetic algorithm
V Venkatasubramanian, K Chan, JM Caruthers
Journal of Chemical Information and Computer Sciences 35 (2), 188-195, 1995
1511995
A systematic framework for the development and analysis of signed digraphs for chemical processes. 1. Algorithms and analysis
MR Maurya, R Rengaswamy, V Venkatasubramanian
Industrial & engineering chemistry research 42 (20), 4789-4810, 2003
1502003
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Artikler 1–20