An approach to fault diagnosis of chemical processes via neural networks

AIChE Journal

Volumn 39, Issue 1, 1993, Pages 82-88

  Fan, J Y ^a   Nikolaou, M ^a   White, R E ^a  

^a TEXAS A AND M UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER APPLICATIONS; HYDROCARBONS; NEURAL NETWORKS; PROCESS CONTROL; TOLUENE;

CHEMICAL PROCESSES; COMPLEX NONLINEAR RELATIONSHIPS; FAULT DIAGNOSIS; HEPTANE TOLUENE PROCESS;

CHEMICAL OPERATIONS;

FAULT DIAGNOSIS; NEURAL NETWORKS;

EID: 0027333737     PISSN: 00011541     EISSN: 15475905     Source Type: Journal    
DOI: 10.1002/aic.690390109     Document Type: Article

References (7)

1. Artificial Neural Network Models of Knowledge Representation in Chemical Engineering
2. Fault Detection and Diagnosis in Chemical and Petrochemical Processes
3. An Introduction to Computing with Neural Nets
4. A Neural Network Methodology for Process Fault Diagnosis
5. Incipient Fault Diagnosis of Chemical Processes via Artificial Neural Networks