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A Fault Identification Method of Rear Axle Bearing Under Lateral Dynamic Load of Vehicle

机译:汽车横向动载荷下后桥轴承的故障识别方法

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As an important component of automobile, rolling bearing has a great impact on the safety of vehicle and occupants. At present, most of the literatures have studied the damaged bearing on the bench, and there is little research on the bearing failure resulted from the change of the vehicle posture. In this paper, taking the abnormal noise of the rear axle hub bearing induced by the axial load of rear axle in steering condition as an example, a method of fault identification and data analysis for the rolling bearing in the whole vehicle state is presented. First of all, the subjective evaluation of vehicles is carried out and the fault location is analyzed with the transfer path of the abnormal noise. Then, an objective test is designed to collect the vibration acceleration data of the rear axle bearings and the data is analyzed by wavelet packet. The appropriate wavelet base function and the number of decomposition level are selected to decompose the signal into different frequency bands. The frequency band containing the most information of bearing fault is determined by calculating the energy distribution of frequency bands. Envelope analysis for the fault frequency band is used to extract the characteristic frequency of the fault bearing. The correctness of the analysis results is verified by disassembling the hub bearing, and it also shows that this method can be effectively used to judge the fault location and identify the fault type of rolling bearing under the condition of the whole vehicle.
机译:滚动轴承作为汽车的重要组成部分,对车辆和乘员的安全影响很大。目前,多数文献研究了长凳上的轴承损坏,而对因车辆姿态变化而引起的轴承失效的研究很少。本文以转向工况下后轴轴向载荷引起的后轮毂轴承异常噪声为例,提出了一种整车状态下滚动轴承的故障识别和数据分析方法。首先,对车辆进行主观评估,并通过异常噪声的传递路径分析故障位置。然后,进行客观测试,以收集后轴轴承的振动加速度数据,并通过小波包对数据进行分析。选择适当的小波基函数和分解级数以将信号分解为不同的频带。通过计算频带的能量分布来确定包含轴承故障信息最多的频带。使用故障频带的包络分析来提取故障轴承的特征频率。通过拆装轮毂轴承验证了分析结果的正确性,也表明该方法可以有效地判断整车状况下滚动轴承的故障部位和识别故障类型。

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