Sensor fault diagnosis in a chemical process via RBF neural networks

Control Engineering Practice

Volumn 7, Issue 1, 1999, Pages 49-55

  Yu, D L ^a   Gomm, J B ^a   Williams, D ^a  

^a LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

Author keywords

Chemical processes; Dynamic models; Fault diagnosis; Neural networks; Non linear systems; Sensor faults

Indexed keywords

NONLINEAR CONTROL SYSTEMS; PREDICTIVE CONTROL SYSTEMS; PROCESS CONTROL; SENSORS;

RADIAL BASIS FUNCTION (RBF) NEURAL NETWORKS; SENSOR FAULT DIAGNOSIS;

NEURAL NETWORKS;

EID: 0032654520     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0967-0661(98)00167-1     Document Type: Article

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