Fault parameter identification for switched circuit system under unknown discrete faults

作者：Xiao, Chenyu; Yu, Ming

来源：Chinese Journal of Scientific Instrument, 2018, 39(4): 195-204.

DOI：10.19650/j.cnki.cjsi.J1702820

• Analysis of simulations
• Analytical redundancy
• Biogeography-based optimization algorithms
• Fault signature
• Hybrid bond graphs
• Optimization algorithms
• Pitch adjustments
• Simultaneous identification

In this paper, the estimation method of fault parameters in switched analog circuit system under unknown discrete fault condition is investigated. Firstly, hybrid bond graph (HBG) theory is used to model the switched circuit system, the global analytical redundancy relationships (GARRs) of the system is derived via causal path coverage method to detect faults, and the fault signature matrix (FSM) is constructed according to GARRs to isolate the possible fault parameter set. In order to correct the faults set, a new optimization algorithm called biogeography-based optimization algorithm with pitch adjustment (PABBO) is proposed, where the possible fault parameter set obtained with fault isolation and the mode switch time of unknown discrete fault are considered as the design variables of optimization algorithm, the simultaneous identification of fault parameters and mode switch time of unknown discrete fault. Through the analysis of simulation and actual experiment results, the effectiveness of HBG and GARRs based fault detection method of hybrid system is verified, and the feasibility of simultaneous identification of fault parameters and mode switch time based on PABBO is proved.

• 出版日期2018
• 单位合肥工业大学