Incipient fault detection and identification in process systems using accelerated neural network learning

Nuclear Technology

Volumn 105, Issue 2, 1994, Pages 145-161

  Parlos, Alexander G ^a   Muthusami, Jayakumar ^a   Atiya, Amir F ^a  

^a TEXAS A AND M UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; ALGORITHMS; CENTRIFUGAL PUMPS; DC MOTORS; FAILURE ANALYSIS; IDENTIFICATION (CONTROL SYSTEMS); LEARNING SYSTEMS; NUCLEAR REACTORS; PATTERN RECOGNITION; PIPING SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS); SENSORS;

ACCELERATED LEARNING; ADAPTIVE BACK PROPAGATION ALGORITHM; ARTIFICIAL NEURAL NETWORKS; FAULT DETECTION AND IDENTIFICATION; NUMERICAL TESTING; PROCESS SYSTEMS;

NEURAL NETWORKS;

EID: 0028375622     PISSN: 00295450     EISSN: None     Source Type: Journal    
DOI: 10.13182/NT94-A34919     Document Type: Article

References (33)