Considerations on Classification of the Main Components of the Vehicles By their Vibroacoustic Fingerprint

Nicolae-Adrian Niţu, C. Bujoreanu
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Abstract

Abstract The modern car industry is evolving under new premises, such as new propulsion technology, which imply offering to the customer the completed new solutions (charging station, service contract and remote diagnosis). Proven diagnostic technology is reaching its limits because is generally based on detecting the electrical faults and the mechanical, hydraulic and pneumatic failures have a slight degree of detection by this method. An alternative method of diagnosis could be the study of actual noise and vibration parameters of the main components of the vehicle subject to major faults and compare them to that specific to good status of operation. This paper deals with the classification of the main components of the vehicles by their vibroacoustic fingerprint. Those components of the vehicle grouped by vehicle category and their common patterns of vibroacoustic fingerprints must be permanently overseen and compare with those assigned to the status of good health for diagnosis.
利用振动声指纹对车辆主要部件进行分类的思考
现代汽车工业在新的前提下发展,如新的推进技术,这意味着为客户提供完整的新解决方案(充电站、服务合同和远程诊断)。由于现有的诊断技术一般是基于电气故障的检测,而机械、液压和气动故障的检测程度较低,因此诊断技术已经达到了极限。另一种诊断方法是研究发生重大故障的车辆主要部件的实际噪声和振动参数,并将其与良好运行状态的具体参数进行比较。利用振动声指纹对车辆的主要部件进行了分类。按车辆类别分组的车辆部件及其共同的振动声指纹模式必须长期监督,并与分配给健康状态的部件进行比较以进行诊断。
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