Bearing defect detection using on-board accelerometer measurements

J. Donelson, R. Dicus
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引用次数: 39

Abstract

Vibration signatures of defective roller bearings on railroad freight cars were analyzed in an effort to develop an algorithm for detecting bearing defects. The effort is part of a project to develop an on-board condition monitoring system for freight trains. The Office of Research and Development of the Federal Railroad Administration (FRA) is sponsoring the project. The measurements were made at the Transportation Technology Center (TTC) in Pueblo, CO on July 26-29, 1999 during the Phase III Field Test of the Improved Wayside Freight Car Roller Bearing Inspection Research Program sponsored by FRA and the Association of American Railroads (AAR). Wheel sets with specific roller bearing defects were installed on a test train consisting of 8 freight cars designed to simulate revenue service. The consist also contained nondefective roller bearings. Accelerometers were installed on the inboard side of the bearing adapters to measure the vibration signatures during the test. Signatures of both defective and nondefective bearings were recorded. The data were recorded on Sony Digital Audio Tape (DAT) Recorders sampling at a rate of 48 K samples per second. We used both ordinary and envelope spectral analysis to analyze the data in an effort to detect features that could be related to known defects. The spectra of nondefective bearings show no remarkable features at bearing defect frequencies. In general, the ordinary spectra of defective bearings do not exhibit remarkable features at the bearing defect frequencies. In contrast, the envelope spectra of defective bearings contain a number of highly resolved spectral lines at these frequencies. In several cases the spectral lines could be related to specific bearing defects. Based on the analysis performed to date, the envelope spectrum technique provides a promising method for detecting defects in freight car roller bearings using an onboard condition monitoring system.
使用车载加速度计测量轴承缺陷检测
分析了铁路货车上存在缺陷的滚子轴承的振动特征,提出了一种检测轴承缺陷的算法。这项工作是为货运列车开发车载状态监测系统项目的一部分。联邦铁路管理局(FRA)的研究与发展办公室赞助了这个项目。这些测量是在1999年7月26日至29日在科罗拉多州普韦布洛的运输技术中心(TTC)进行的,当时是由联邦铁路局和美国铁路协会(AAR)赞助的改良路旁货车滚子轴承检查研究项目的第三阶段现场测试。将具有特定滚子轴承缺陷的轮对安装在由8节货车组成的试验列车上,以模拟收入服务。该组件还包含无缺陷的滚子轴承。加速度计安装在轴承适配器的内侧,以测量测试过程中的振动特征。记录了有缺陷和无缺陷轴承的签名。数据被记录在索尼数字音频磁带(DAT)录音机上,以每秒48k采样的速率进行采样。我们使用普通和包络谱分析来分析数据,以检测可能与已知缺陷相关的特征。无缺陷轴承的频谱在轴承缺陷频率上无显著特征。一般来说,缺陷轴承的普通谱在轴承缺陷频率上不表现出显著的特征。相反,故障轴承的包络谱在这些频率上包含许多高度分辨的谱线。在一些情况下,谱线可能与特定的轴承缺陷有关。基于迄今为止所进行的分析,包络谱技术为利用车载状态监测系统检测货车滚子轴承缺陷提供了一种很有前途的方法。
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