期刊
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
卷 14, 期 12, 页码 5233-5244出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2018.2842255
关键词
Bond graph (BG); electromechanical system; extended analytical redundancy relations (EARRs); fault diagnosis; pitch adjustment biogeography-based optimization (PABBO)
类别
资金
- National Natural Science Foundation of China [61673154, 61503113, 61773149]
- Anhui Provincial Natural Science Foundation of China [1608085QE120]
This paper deals with bond-graph-based fault detection, isolation, and estimation, which is applied to a nonlinear electromechanical system, in the presence of parametric faults and nonparametric faults. The concept of extended analytical redundancy relations (EARRs) is developed where the nonparametric faults of both multiplicative and additive natures can be considered and distinguished. The integration of dependent EARR with independent EARR leads to a more efficient fault isolation where the number of potential faults could be decreased. For the purpose of fault estimation, a new pitch adjustment biogeography-based optimization is developed where the pitch adjustment in harmony search is embedded in a biogeography-based optimization mutation stage to enhance the search ability of the algorithm. The proposed methodologies are validated by simulation and experiment results.
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