Abstract：Adaptive time-varying filtering (ATF) method is a non-stationary signal processing method based on data-driven, which can effectively extract gear fault signals under variable rotational speeds. However, in the ATF method, it's subjective that the selection of filtering bandwidth needs to be manually selected based on experience. Therefore, aiming at the adaptive optimal selection of filtering bandwidth in the ATF method, an adaptive time-varying filtering method based on bandwidth optimal selection is proposed, taking the energy ratio of gear meshing order and its adjacent order as an index. The method firstly estimates the instantaneous frequency in the gear fault signal by using chirplet path pursuit, then sets different filter bandwidth values to construct an adaptive time-varying filter, then performs order analysis on the filtered signal, and calculates the energy ratio between the gear meshing order and its adjacent order, finally selects the filter bandwidth corresponding to the optimal energy ratio as the optimal bandwidth value to perform filter analysis on the signal, and further diagnoses gear faults. The simulation and case analysis of gear local fault under variable speed are carried out and compared with ensemble empirical mode decomposition（EEMD） method. The results show that this method can not only adaptively select filter bandwidth and reduce filter error, but also effectively extract gear fault feature signal and highlight gear fault characteristics.
陈向民，黎琦，张亢，段萌，牛晓瑞，李录平. 一种带宽优化选取的ATF方法及其在齿轮故障诊断中的应用[J]. 振动与冲击, 2022, 41(9): 253-259.
CHEN Xiangmin, LI Qi, ZHANG Kang, DUAN Meng, NIU Xiaorui, LI Luping. A bandwidth optimization selection ATF method and its application in gear fault diagnosis. JOURNAL OF VIBRATION AND SHOCK, 2022, 41(9): 253-259.
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