In view of the low diagnosis accuracy of expert system at present, a multi-dimensional fault diagnosis method based on expert thinking is proposed, which fuse information of related points, multi-times and multi-sensitive parameters. Following the thinking when fault diagnosis expert analyze and diagnose the machine's abnormal state and base on the failure mechanism, response characteristics and deterioration law, select the data of related-points in multi-times to establish the matrix of sensitive parameters, then generate the fault matrix and weight matrix to diagnose the machine's abnormal state. The result is accurate and conflicts between different times can be avoided when using this method to analyze and diagnose the abnormal state of a machine in real petrochemical.
MA Bo
,
GAO Jinji
,
JIANG Zhinong
. Multi-dimensional Fault Diagnosis Method Based on Expert Thinking[J]. Journal of Mechanical Engineering, 2017
, 53(23)
: 32
-38
.
DOI: 10.3901/JME.2017.23.032
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