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

打开文本图片集

Abstract：A vehicle hydraulic bearing damage fault inteligent diagnosis method based on acoustic sensor long array is designed：Fault signals of vehicle hydraulic bearings arecollcted through a long arrayof acoustic sensors，and wavelet transformisapplied todenoisethecolected signals.Utilizing thedistributionandvariationcharacteristicsofvibration signal energyinvarious frequencybandsafterafault，thefaultcharacteristicsaredescribed.Awavelet packetalgorithmis designed to extract features andefectivelysuppress blind coupling interference，achieving fault diagnosisof vehicle hydraulic bearings.The test results show thatthe proposed method can significantly improve the signal-to-noise ratio of vehicle hydraulic bearing damage fault signals，with amplitudes fluctuating between 0.1-0.2mV ，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.

Keywords：blindcouplingof vibration；longarrayofacoustic sensors；vehicles；hydraulic bearings；fault diagnosis; wavelettransform

0 引言

在城市化进程中车辆扮演着越来越重要的角色，其安全性能得到了越来越多的关注。（剩余6771字）