Wanxin Zhang1,*, Jihong Zhu2
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1119-1130, 2020, DOI:10.32604/cmes.2020.010986
Abstract With the increasing demand for the automation of operations and processes in mechatronic systems, fault detection and diagnosis has become a major
topic to guarantee the process performance. There exist numerous studies on the
topic of applying artificial intelligence methods for fault detection and diagnosis.
However, much of the focus has been given on the detection of faults. In terms of
the diagnosis of faults, on one hand, assumptions are required, which restricts the
diagnosis range. On the other hand, different faults with similar symptoms cannot
be distinguished, especially when the model is not trained by plenty of data. In… More >
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