Abstract：Here, to solve the problem of traditional stochastic resonance having fixed parameters or only optimizing a single parameter, a parameter synchronous optimization stochastic resonance method was proposed.Firstly, a real large signal was preprocessed with frequency shift and scale variation to make the signal conform to the condition of small parameter.Then, system parameters were synchronously optimized using state transition stochastic resonance.Finally, the optimal extraction of early weak fault features was realized through frequency recovery.Simulation and tests of high-speed train traction drive system hardware in the loop fault injection platform showed that the proposed method can effectively detect weak fault signals from strong background noise; the results of weak signal extraction and fault diagnosis verify the feasibility and effectiveness of the proposed method.
尹进田，唐杰，刘丽，刘新波，彭志华，李辉. 参数同步优化随机共振在牵引传动系统早期微弱故障诊断中的应用[J]. 振动与冲击, 2021, 40(17): 234-240.
YIN Jintian, TANG Jie, LIU Li, LIU Xinbo, PENG Zhihua, LI Hui. Application of parameter synchronous optimization stochastic resonance in early weak fault diagnosis of traction drive system. JOURNAL OF VIBRATION AND SHOCK, 2021, 40(17): 234-240.
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