A Dual-Stage Progressive Feature Disentanglement Method for Cross-Condition Gearbox Bearing Fault Diagnosis
编号:35 访问权限:仅限参会人 更新:2026-09-18 14:01:01 浏览:6次 张贴报告

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摘要
Rolling bearing fault diagnosis for subway train transmission systems faces severe feature distribution shift when operating conditions (rotational speed and lateral load) vary between training and deployment. A single feature extraction paradigm can hardly guarantee global cross-condition robustness and high resolution under extreme low-speed heavy-load conditions at the same time. To address this problem, this paper proposes a physics-driven dual-stage progressive diagnosis strategy. First, the rotational frequency is accurately estimated from the interference-free motor current signal. Then, in Stage I, wavelet packet band energy ratios are used to construct a globally robust baseline that is inherently immune to amplitude fluctuations caused by load variation. In Stage II, aiming at the feature aliasing of wavelet features under low-speed heavy-load conditions, envelope spectrum order energy ratios are introduced for microscopic refined diagnosis. Experiments on the PHM Data Challenge dataset (gearbox bearing faults TYPE9-TYPE12) show that the proposed method effectively overcomes cross-condition interference and improves the diagnostic accuracy from 83.33% of the wavelet-only baseline to 100%, providing a highly interpretable engineering paradigm for small-sample, cross-condition diagnosis of complex mechanical systems.
 
关键词
Fault diagnosis,gearbox bearing,wavelet packet energy ratio,envelope spectrum,order analysis,cross-condition,PHM Data Challenge
报告人
Chao Liang
Senior Engineer The Fifth Electronics Research Institute of Ministry of Industry and Information Technology

稿件作者
Yuan Li China Wuzhou Engineering Design Group Co., Ltd.
Chao Liang The Fifth Electronics Research Institute of Ministry of Industry and Information Technology
Zhiwei Ma China Wuzhou Engineering Design Group Co., Ltd.
Panpan Han China Wuzhou Engineering Design Group Co., Ltd.
Mou Sun China Wuzhou Engineering Design Group Co., Ltd.
Kai Zhou China Wuzhou Engineering Design Group Co., Ltd.
Shiyu Jia China Wuzhou Engineering Design Group Co., Ltd.
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重要日期
  • 会议日期

    11月06日

    2026

    至

    11月08日

    2026

  • 10月15日 2026

    初稿截稿日期

主办单位
IEEE Instrumentation and Measurement Society
承办单位
Sichuan University
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