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A Comparison Study Between Acoustic Sensors for Bearing Fault Detection Under Different Speed and Load Using a Variety of Signal Processing Techniques

机译:多种信号处理技术在不同速度和负载下用于轴承故障检测的声传感器的比较研究

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摘要

The use of ultrasonic sensor technology to detect incipient and evolving defects in rotating components such as bearings and gears is more desirable due to their high resolution. In a previous study, the sensitivity of a variety of sensors including an air-coupled ultrasound transducer to bearing faults was analyzed and thoroughly discussed. This article investigates the effectiveness of two ultrasonic sensors, namely, air-coupled and piezoelectric ultrasound transducers for rolling element bearings damage diagnostics. The former is a noncontact sensor and the latter is a contact sensor. An accelerometer was also used as the baseline sensor for comparison purposes. A series of tests was carried out on a laboratory test rig running with defective and undamaged healthy bearings under variable shaft speeds and several radial loads. The data were analyzed using selected signal processing techniques covering time, frequency, and advanced joint time-frequency domains. The results showed that certain acoustic features were responsive to the variation of operational condition and the damage; the detection capability of the sensors varied depending on the defect size, its location, as well as the applied signal analysis technique.
机译:由于它们的高分辨率,更希望使用超声波传感器技术来检测旋转部件(例如轴承和齿轮)中的初期和不断发展的缺陷。在先前的研究中,分析并彻底讨论了包括空气耦合超声换能器在内的各种传感器对轴承故障的敏感性。本文研究了两个超声传感器的有效性,即空气耦合和压电超声传感器,用于滚动轴承的损伤诊断。前者是非接触式传感器,后者是接触式传感器。为了进行比较,加速度计也被用作基线传感器。在实验室测试台上进行了一系列测试,这些测试台在可变的轴转速和数个径向载荷下,在有缺陷且未损坏的健康轴承上运行。使用选定的信号处理技术对数据进行了分析,这些技术涵盖了时域,频域和高级联合时频域。结果表明,某些声学特征对操作条件的变化和损伤有反应;传感器的检测能力取决于缺陷的大小,位置以及应用的信号分析技术。

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