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Venkat Venkatasubramanian
Venkat Venkatasubramanian
Samuel Ruben-Peter G. Viele Professor of Engineering, Columbia University
Bestätigte E-Mail-Adresse bei columbia.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
38352003
A review of process fault detection and diagnosis: Part III: Process history based methods
V Venkatasubramanian, R Rengaswamy, SN Kavuri, K Yin
Computers & chemical engineering 27 (3), 327-346, 2003
25042003
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
17402003
A neural network methodology for process fault diagnosis
V Venkatasubramanian, K Chan
AIChE Journal 35 (12), 1993-2002, 1989
6131989
The promise of artificial intelligence in chemical engineering: Is it here, finally?
V Venkatasubramanian
AIChE Journal 65 (2), 466-478, 2019
5172019
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
3551990
Computer-aided molecular design using genetic algorithms
V Venkatasubramanian, K Chan, JM Caruthers
Computers & Chemical Engineering 18 (9), 833-844, 1994
334*1994
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
3102003
Challenges in the industrial applications of fault diagnostic systems
S Dash, V Venkatasubramanian
Computers & chemical engineering 24 (2-7), 785-791, 2000
2772000
Intelligent systems for HAZOP analysis of complex process plants
V Venkatasubramanian, J Zhao, S Viswanathan
Computers & Chemical Engineering 24 (9-10), 2291-2302, 2000
2612000
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
2231995
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
2141991
PCA-SDG based process monitoring and fault diagnosis
H Vedam, V Venkatasubramanian
Control engineering practice 7 (7), 903-917, 1999
2091999
Model-based reasoning in diagnostic expert systems for chemical process plants
SH Rich, V Venkatasubramanian
Computers & Chemical Engineering 11 (2), 111-122, 1987
2061987
Computer aided molecular design: theory and practice
L Achenie, V Venkatasubramanian, R Gani
Elsevier, 2002
2052002
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
1952003
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
1892007
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
1892004
A genetic algorithmic framework for process design and optimization
IP Androulakis, V Venkatasubramanian
Computers & chemical engineering 15 (4), 217-228, 1991
1821991
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
1731995
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