Research on the Wheel System Fault Diagnosis of Special Vehicle Based on Wavelet Packet-AR Model Spectrum Technique

Lin Guangfeng, Liu Yang, Guo Yingchun, Zhang Fulong, Wang Tao
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Abstract

Wavelet packet autoregressive spectrum technique are used to analyze the steady and unsteady vibration signals of vehicle wheel system, extracts the fault characteristics of special vehicle wheel system, and realize the extraction of the fault characteristics of analysis object. By analyzing the fitting clearance of wheel system gears, discriminates the fault phenomenon of vehicle wheel system, provides important supports for the maintenance of special vehicle wheel system. Experiments show that this method can realize the fault diagnosis of wheel system for special vehicle equipments and fast on-line measurement, and provide strong support to maintain the intact rate of equipments.
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基于小波包- ar模型谱技术的特种车辆车轮系统故障诊断研究
采用小波包自回归谱技术对车辆车轮系统的稳态和非稳态振动信号进行分析,提取专用车辆车轮系统的故障特征,实现对分析对象的故障特征提取。通过分析车轮系统齿轮的配合间隙,识别车辆车轮系统的故障现象,为专用车辆车轮系统的维修提供重要支持。实验表明,该方法能够实现特种车辆设备车轮系统的故障诊断和快速在线检测,为保持设备的完成率提供有力支持。
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