作者：张志平1, 刘正平2
作者单位：1. 石家庄邮电职业技术学院电信工程系, 河北石家庄 050021;
2. 华东交通大学机电工程学院, 江西南昌 330013
关键词：汽车后桥; 质量检测; 时间平均小波谱; 特征参数; 小波
摘要：
汽车后桥是汽车的关键部件之一,有20%的事故是由后桥造成的,因此在其出厂前要进行严格的质量检测。本文采用振动诊断方法实现了后桥的质量检测,通过采集、分析汽车后桥振动信号,应用时间平均小波谱法提取后桥的质量检测参数,根据新产品的振动能量特点,如果参数值在特征参数阈值允许范围内则产品合格,否则认为产品不合格,这种方法能够实现自动检测,更适合现代化生产的需要。
Automobil e rear bridge quality inspection on time averaged wavelet spectrum
ZHANG Zhi-ping1, LIU Zheng-ping2
1. ShiJiazhuang Posts and Telecommunications Vocational Technology College, Shijiazhuang 050021, China;
2. School of Mechanical and Electronical Engineering of East China Jiaotong University, Nanchang 330013, China
Abstract: Rear bridge is one of the key parts of automobile and about 20% accidents come from rear bridge.So it is necessary to inspect strictly before rear bridges leaving factory.In this paper,the authors adopted vibration diagnosis method to realize quality inspection of rear bridge.By sampling and processing vibration signal as well as time averaged wavelet spectrum method,quality inspection parameter of rear bridge was extracted.According to vibration energy feature of this new product,product can be judged as qualified if its parameter is in range of specified threshold.This method can realize auto inspection and suit need of modernization production very well.
Keywords: Rear bridge; Quality inspection; Time averaged wavelet spectrum; Feature parameter; Wavelet
2006, 32(4): 139-140 收稿日期: 2005-11-22;收到修改稿日期: 2006-3-5
基金项目:
作者简介:
参考文献
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