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国外文献 > 1.轴承 > 4. 设计与分析 > 算法与优化

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标 题： Automatic Diagnosis Method for Rolling Bearing Using Measured Signal from Distant Points
基于远距离点测量信号的滚动轴承自动诊断方法
作 者： Yusuke KOBAYASHI
Peng CHEN
Masaru TOMITA
Liuyang SONG
关键词： Distant point  [遥远的点]
Bearing diagnosis  [ 轴承诊断]
Genetic algorithm  [ 遗传算法]
Tabu search  [ 禁忌搜索]
High-pass-filter  [ 高通滤波器]
Decision tree  [ 决策树]
Middle- speed rolling  [ 中速滚动]
出版年： 2018
会议名： 12th France-Japan and 10th Europe-Asia Congress on Mechatronics
第12届法国-日本机电一体化大会暨第10届欧洲-亚洲机电一体化大会
届 次： 12th
摘 要： Though acceleration sensors must be set as near the diagnosed bearings as possible, it is difficult to set acceleration sensors near the diagnosed bearings in some field equipment, and in some cases bearing faults are diagnosed at distant points from the diagnosed bearings. So, in this research, to solve the problem described above, we investigated the basic method by which bearing faults can be automatically diagnosed simply and precisely using the signals measured by the acceleration sensors at distant points from the diagnosed bearings. In this paper, first we proposed the method by which the optimal cut-off frequency of high-pass-filter is automatically searched and decided by genetic algorithm and tabu search to extract vibration signals of the abnormal bearings, and the method by which bearing faults can be automatically diagnosed by decision tree. Then, these methods were applied to bearing diagnosis using the vibration signals measured at distant points from the diagnosed bearings rolling at middle speed, and the efficiency of these methods have been verified by the results of the automatic bearing faults diagnosis.

尽管加速度传感器应尽可能靠近诊断轴承进行安装，但在某些现场设备中，很难将加速度传感器设置在诊断轴承附近，且在某些情况下，轴承故障的诊断点与诊断轴承相距较远。因此，为解决上述问题，本研究探讨了如何利用加速度传感器在远离诊断轴承的点测得的信号，以简单而精确的方式实现轴承故障的自动诊断。本文首先提出一种方法：通过遗传算法和禁忌搜索自动搜索并确定高通滤波器的最佳截止频率，从而提取异常轴承的振动信号； 同时，采用决策树方法实现轴承故障的自动诊断。随后，将这些方法应用于中速滚动状态下、在远离诊断轴承的点测得的振动信号的轴承诊断，并通过自动轴承故障诊断结果验证了这些方法的有效性。
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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