机械制造与自动化2025，Vol.54Issue(5)：84-89,6.DOI:10.19344/j.cnki.issn1671-5276.2025.05.016
基于声学传感器长阵列车辆液压轴承损伤故障智能诊断方法
Intelligent Diagnosis Method for Damage Fault of Vehicle Hydraulic Bearings Based on Long Array of Acoustic Sensors
摘要
Abstract
A vehicle hydraulic bearing damage fault intelligent diagnosis method based on acoustic sensor long array is designed.Fault signals of vehicle hydraulic bearings are collected through a long array of acoustic sensors,and wavelet transform is applied to denoise the collected signals.Utilizing the distribution and variation characteristics of vibration signal energy in various frequency bands after a fault,the fault characteristics are described.A wavelet packetalgorithm is designed to extract features and effectively suppress blind coupling interference,achieving fault diagnosis of vehicle hydraulic bearings.The test results show that the proposed method can significantly improve the signal-to-noise ratio of vehicle hydraulic bearing damage fault signals,with amplitudes fluctuating between 0.1-0.2 mV,and the fault diagnosis accuracy consistently exceeding 90%in different experimental environments,which indicates that the proposed method is of high technical level and application value.关键词
振动盲耦合/声学传感器长阵列/车辆/液压轴承/故障诊断/小波变换Key words
blind coupling of vibration/long array of acoustic sensors/vehicles/hydraulic bearings/fault diagnosis/wavelet transform分类
信息技术与安全科学引用本文复制引用
高京,殷鸿鑫,崔佳..基于声学传感器长阵列车辆液压轴承损伤故障智能诊断方法[J].机械制造与自动化,2025,54(5):84-89,6.基金项目
哈尔滨铁路科研项目(GJNY-20-139) （GJNY-20-139）
