Journal
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Volume 27, Issue -, Pages 129-136Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.engappai.2013.06.011
Keywords
Conjugate gradient; Fault detection and isolation; Back propagation neural networks; Parity equations; Residuals generation; Rule based system
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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. (C) 2013 Elsevier Ltd. All rights reserved.
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