中国机械工程2025，Vol.36Issue(9)：2022-2031,10.DOI:10.3969/j.issn.1004-132X.2025.09.014
基于共振解调新方法的滚动轴承故障诊断
Rolling Bearing Fault Diagnosis Using a New Resonance Demodulation Method
摘要
Abstract
To extract weak features and diagnose rolling bearing faults,a new resonance demodula-tion method was proposed based on subbands-reconstructed and-rearranged dual-tree complex wavelet packet transform(SRR-DTCWPT)and peak frequency extraction.The SRR-DTCWPT-based frequency band division method was fine,maintained the advantages of DTCWPT in approximate translation invari-ance and less spectral energy leakage,and solved the problem of band misalignment.The resonance de-modulation method based on SRR-DTCWPT and peak frequency extraction did not require the participa-tion of any indicator,might extract frequency bands at any position,avoided the influences of strong impact interference,and automated the calculation processes.The proposed method was compared with Fast Kur-togram and Autogram in simulation and case studies,and the results demonstrate the effectiveness and effi-ciency of the proposed method.关键词
轴承故障诊断/共振解调/双树复小波包变换/子带重构重排/峰值频率提取Key words
bearing fault diagnosis/resonance demodulation/dual-tree complex wavelet packet trans-form(DTCWPT)/subbands reconstruction and rearrangement(SRR)/peak frequency extraction分类
机械制造引用本文复制引用
冯思茜,王家序,张新,黄欣玥..基于共振解调新方法的滚动轴承故障诊断[J].中国机械工程,2025,36(9):2022-2031,10.基金项目
国家自然科学基金(52075456,52175122) （52075456,52175122）
四川省自然科学基金(2023NSFSC0362) （2023NSFSC0362）
中国博士后科学基金(2023M732917) （2023M732917）
四川省博士后创新人才支持项目(BX202214) （BX202214）
