基于动态时窗的汽车轴承故障在线检测  

Online Detection of Car Bearing Fault Based on Dynamic Time Window

作　　者：于洪兵[1] 张亚岐[2] 周海龙[2] 尚凯[2] 杨兴园 YU Hongbing;ZHANG Yaqi;ZHOU Hailong;SHANG Kai;YANG Xingyuan(Department of Vehicle Engineering,Baotou Vocational and Technical College,Baotou Inner Mongolia 014030,China;The Technology Central of Dongfeng Motor,Wuhan Hubei 430058,China)

机构地区：[1]包头职业技术学院车辆工程系,内蒙古包头014030 [2]东风汽车公司技术中心,湖北武汉430058

出　　处：《机床与液压》2019年第16期205-208,共4页Machine Tool & Hydraulics

摘　　要：针对在线检测时汽车轴承故障呈现出的变频特性(由于车辆的变速运动引起的),且一般故障检测方法无法适应变频特性等问题,提出一种基于动态时间窗的汽车轴承故障在线检测方法。对车辆行驶状态进行分析,给出车速与轮毂轴承转速的关系式;依据特征车速给出动态时间窗的确定规则;构建基于特征车速的维格纳故障检测模型;并采集实车数据对所提及的算法进行测试。结果表明:定时窗检测算法适应于线下轴承故障检测,基于特征车速的动态时窗检测算法适用于故障的在线检测。Because frequency conversion characteristic(caused by the variable vehicle speed)existed in automobile bearing fault online detection,and the general fault detection method could not be adapted to the frequency conversion characteristic,an online fault detection method based on dynamic time window was proposed.The vehicle driving state was analyzed,and the relationship between speed and hub bearing speed was given.The determination rules of dynamic time window was given according to the characteristic speed.Wigner-ville distribution fault detection model based on characteristic speed was constructed.Finally,the proposed algorithm was tested by collecting real vehicle data.The results show that the fixed time window detection algorithm is suitable for offline bearing fault detection,and the dynamic time window detection algorithm based on characteristic speed is suitable for online fault detection.

关 键 词：轴承故障 在线检测 变频 特征车速 维格纳分布 

分 类 号：TH17[机械工程—机械制造及自动化]