基于共振解调新方法的滚动轴承故障诊断

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中图分类号：TH17DOI：10.3969/j.issn.1004-132X.2025.09.014

Rolling Bearing Fault Diagnosis Using a New Resonance

DemodulationMethod

FENG Siqian1 WANG Jiaxu1² ZHANG Xin1³ HUANG Xiyue1 1.School of Mechanical Engineering，Southwest Jiaotong University，Chengdu，610031

2.State Key Laboratory of Mechanical Transmission for Advanced Equipment， Chongqing University， Chongqing，400044

3.Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province，Southwest Jiaotong University，Chengdu，610031

Abstract： To extract weak features and diagnose rolling bearing faults，a new resonance demodulation 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 invariance and less spectral energy leakage，and solved the problem of band misalignment. The resonance demodulation method based on SRR-DTCWPT and peak frequency extraction did not require the participation ofany 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 Kurtogram and Autogram in simulation and case studies，and the results demonstrate the efectiveness and efficiency of the proposed method.

Key words： bearing fault diagnosis；resonance demodulation；dual-tree complex wavelet packet transform（DTCWPT）；subbands reconstruction and rearrangement（ SRR）；peak frequency extraction

0 引言

轴承是装备传动系统和动力系统中常用的基础零部件，起着连接和支撑旋转机械结构的作用，其健康状态直接影响装备整体的工作效率和可靠性[1-3]。（剩余13685字）