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国外文献 > 1.轴承 > 5. 监测与诊断 > 状态监测

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标 题： A comparison of Acoustic Emission and Vibration on Bearing Fault Detection
轴承故障检测中声发射与振动的比较
作 者： Xiaoqin Liu
Xing Wu
Chang Liu
关键词： Rotary machine  [旋转机械]
Envelope analysis  [ 信封分析]
Condition monitoring  [ 状态监测]
Fault diagnosis  [ 故障诊断]
出版年： 2012
会议名： 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE 2011)
2011年交通运输、机械与电气工程国际会议（TMEE 2011）
届 次：
摘 要： Rolling element bearings are among the most common components in industrial rotating machinery. Condition monitoring technologies for bearing fault detection and diagnosis are critical to avoid machines from productivity reduction and emergency breakdown. Acoustic emission (AE) technology which detects the expanding of cracks in the fatigued material is able to monitor bearings before visual defects formed in contacting surfaces. This advantage may help the AE method identify the fault before the commonly used vibration method does. In this paper, the effectiveness of AE method on bearing diagnosis is compared with vibration method. The two methods were tested on the same bearing fault under three rotary speeds, and two kinds of signals were both processed by envelope analysis method. The results show that the quality of acoustic emission signal decreases more significantly than vibration signal when rotary speed slows down, and the attenuation of high frequency component of AE signal should be specially addressed before applying to industrial equipment.

滚动轴承是工业旋转机械中最常见的部件之一。轴承故障的检测与诊断所采用的状态监测技术至关重要，可避免设备因生产效率下降或突发故障而停机。声发射（AE）技术能够检测疲劳材料中裂纹的扩展，从而在接触面出现可见缺陷之前对轴承进行监测。这一优势使得声发射方法能够在常用振动检测方法之前识别出故障。本文比较了声发射法与振动法在轴承诊断中的有效性。两种方法在相同轴承故障下，于三种转速条件下进行了测试，并对两种信号均采用了包络分析法进行处理。结果表明，当转速降低时，声发射信号的质量衰减程度显著高于振动信号； 因此，在应用于工业设备前，必须特别关注声发射信号高频分量的衰减问题。
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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