电子科技2024，Vol.37Issue(1)：55-60,6.DOI:10.16180/j.cnki.issn1007-7820.2024.01.008
基于空-频域联合滤波的列车轴承轨旁声学诊断
Train Bearings Diagnosis Method for Wayside Acoustic Signal Based on Spatial-Frequency Joint Filtering
摘要
Abstract
Existing train bearing trackside acoustic diagnosis methods mostly focus on doppler effect removal and spatial filter optimization,while ignoring the impact noise and cyclostationary noise in the trackside environment.To address this problem,a trackside acoustic diagnosis method combining beamforming and target band selection for train axlebox is proposed in this study.The proposed method acquires train bearing array acoustic signals by micro-phone array,corrects the signal distortion by time domain interpolation resampling method,extracts the target bearing direction signal using beamforming spatial domain filter,selects the optimal demodulation band and extracts the band-pass signal using ICS2gram,and the envelope analysis of the band-pass signal is carried out to realize bear-ing diagnosis.The experimental results show that the proposed method can effectively avoid the influence of impact noise and cyclostationary noise in the trackside sound field environment,accurately extract the target bearing signals and diagnose the bearing faults,showing better effect when compared with the existing methods.关键词
轴承故障诊断/声学诊断/最优频带选择/波束形成/轨旁诊断/循环平稳/包络分析/多普勒效应Key words
bearing fault diagnosis/acoustic diagnosis/optimal frequency band selection/beam forming/track side diagnosis/cyclostationary/envelope analysis/Doppler effect分类
计算机与自动化引用本文复制引用
张彦喆,胡定玉,师蔚,廖爱华..基于空-频域联合滤波的列车轴承轨旁声学诊断[J].电子科技,2024,37(1):55-60,6.基金项目
上海市地方院校能力建设项目(20030501000)Shanghai Local College Capacity Building Project(20030501000) （20030501000）
