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国外文献 > 1.轴承 > 6. 信号处理与特征分析 > 信号处理


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标 题: A Comparison Study Between Acoustic Sensors for Bearing Fault Detection Under Different Speed and Load Using a Variety of Signal Processing Techniques
基于多种信号处理技术的轴承故障检测声学传感器在不同转速和负载下的比较研究
作 者: Aida Rezaei
Azzedine Dadouche
Viresh Wickramasinghe
Waldemar Dmochowski
关键词: Roller Bearing  [滚子轴承]
Air-Coupled Ultrasonic Transducer  [ 空气耦合式超声换能器]
Piezoelectric Ultrasonic Transducer  [ 压电超声换能器]
Wavelet Transform  [ 小波变换]
出版年: 2014
期刊名: Tribology & Lubrication Technology
摩擦学与润滑技术
年卷期: 2014, vol.70, no.11
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.

由于具有高分辨率,利用超声波传感器技术检测轴承和齿轮等旋转部件的初期及发展性缺陷更具优势。在一项先前的研究中,分析并详细讨论了包括空气耦合式超声换能器在内的多种传感器对轴承故障的灵敏度。本文研究了两种超声波传感器——空气耦合式和压电式超声换能器——在滚动元件轴承损伤诊断中的有效性。前者为非接触式传感器,后者为接触式传感器。同时,还使用加速度计作为基准传感器进行对比。在实验室测试台上,对带有缺陷和无损伤的健康轴承,在不同轴速和多种径向载荷条件下进行了系列测试。通过采用时间、频率以及先进的时频联合域信号处理技术对数据进行了分析。结果表明,某些声学特征对运行条件的变化和损伤情况具有响应性。传感器的检测能力取决于缺陷的大小、位置以及所采用的信号分析技术。
中文内容为网络AI翻译,专业术语未必准确,仅供参考。

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