New developments using AI in fault diagnosis
作者： Paul M. Frank , Birgit Köppen-Seliger
DOI: 10.1016/S0952-1976(96)00072-3
关键词: Artificial intelligence 、 Fuzzy logic 、 Computer science 、 State (computer science) 、 Fault (power engineering) 、 Knowledge-based systems 、 Artificial neural network 、 Residual 、 Observer (quantum physics) 、 Neuro-fuzzy 、 Fuzzy electronics
摘要: Abstract This paper is intended to give a survey on the state of art model-based fault diagnosis for dynamic processes employing artificial intelligence approaches. Emphasis placed upon use fuzzy models residual generation and logic evaluation. By suggestion knowledge-based observer-like concept generation, basic idea novel observer concept, so-called “knowledge observer”, introduced. The neural-network approach evaluation outlined as well.
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