Neural network detection and identification of actuator faults in a pneumatic process control valve

Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA

Volumn 2001-January, Issue , 2001, Pages 166-171

  Karpenko, M ^a,b   Sepehri, N ^a,b   Sense, D ^a,b  

^a UNIVERSITY OF MANITOBA   (Canada)

^b Department of Mechanical and Industrial Engineering ^*  (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACTUATORS; ARTIFICIAL INTELLIGENCE; ELECTRIC DRIVES; FAULT DETECTION; NETWORK LAYERS; PATTERN RECOGNITION; PNEUMATIC ACTUATORS; PNEUMATICS; ROBOTICS; SAFETY VALVES; STEP RESPONSE;

DETECTION AND IDENTIFICATIONS; FAULT DETECTION AND IDENTIFICATION; MULTI LAYER PERCEPTRON NETWORKS; NETWORK DETECTIONS; OPERATING CONDITION; PERFORMANCE PARAMETERS; STEADY STATE ERRORS; SUPPLY PRESSURE;

PROCESS CONTROL;

EID: 0002731386     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIRA.2001.1013191     Document Type: Conference Paper

References (10)

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