Artificial intelligence for monitoring and supervisory control of process systems
Engineering Applications of Artificial Intelligence
Editorial: Hybrid learning machines
Neurocomputing
Logic-oriented neural networks for fuzzy neurocomputing
Neurocomputing
Information Sciences: an International Journal
Editorial: Hybrid intelligent algorithms and applications
Information Sciences: an International Journal
Efficient plant supervision strategy using NN based techniques
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
FDI and accommodation using NN based techniques
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Paper: A survey of design methods for failure detection in dynamic systems
Automatica (Journal of IFAC)
Process fault detection based on modeling and estimation methods-A survey
Automatica (Journal of IFAC)
Multi-BP expert system for fault diagnosis of powersystem
Engineering Applications of Artificial Intelligence
Expert condition monitoring on hydrostatic self-levitating bearings
Expert Systems with Applications: An International Journal
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Supervising thermal fluids transfer systems applied in solar parabolic through fields deals with a typical non linear process which suffers from lack of detectability when analytic model based techniques are applied on fault detection, isolation and reconfiguration tasks. This work describes the implementation of a supervision strategy to be applied in thermal fluids transfer systems used on solar parabolic through based power plants for which massive neural networks based functional approximation techniques associated to recursive rule based techniques on the basis of parity equations has been applied. Experimental results carried out on a test rig show that diagnosis applied to the thermal fluid transfer problems can be carried out under acceptable determinism and reliability.