| 改进的邻域相关法在回转支承故障诊断中的应用 |
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| 引用本文： | 苏文胜,柳晨曦,薛志钢,王奉涛,刘晓飞.改进的邻域相关法在回转支承故障诊断中的应用[J].起重运输机械,2019(8):94-97. |
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| 作者姓名： | 苏文胜 柳晨曦 薛志钢 王奉涛 刘晓飞 |
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| 作者单位： | 江苏省特种设备安全监督检查研究院无锡分院;国家桥门式起重机械产品质量监督检验中心;大连理工大学振动工程研究所 |
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| 基金项目： | 江苏省特检院科技项目(KJ(Y)2015013) |
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| 摘 要： | 回转支承具有运行速度低、旋转方向和旋转角度多变、承载能力高、工作环境复杂等特点,为保证生产作业顺利进行,对回转支承进行故障诊断非常必要。文中对现场回转支承3种运行阶段的振动信号进行采集,利用去均值方法对信号降噪处理,采用改进的邻域相关法进行故障诊断和分类,通过模拟和实际数据验证了方法的可行性,为回转支承故障诊断提供参考。
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| 关 键 词： | 回转支承 邻域相关分析 故障 诊断 分类 |
Application of improved neighborhood correlation method in fault diagnosis of slewing bearing |
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| Su Wensheng,Liu Chenxi,Xue Zhigang,Wang Fengtao,Liu Xiaofei.Application of improved neighborhood correlation method in fault diagnosis of slewing bearing[J].Hoisting and Conveying Machinery,2019(8):94-97. |
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| Authors: | Su Wensheng Liu Chenxi Xue Zhigang Wang Fengtao Liu Xiaofei |
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| Abstract: | The slewing bearing has the characteristics of low running speed,changeable rotating direction and angle,high bearing capacity and complex working environment.In order to ensure the smooth operation of production,it is very necessary to carry out fault diagnosis on the slewing bearing.In this paper,the vibration signals of the three operation stages of the slewing bearing are collected,the signal is denoised by the de-averaging method,and the fault diagnosis and classification are carried out by the improved neighborhood correlation method.The feasibility of the method is verified by simulation and actual data,which provides a reference for the fault diagnosis of the slewing bearing. |
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| Keywords: | slewing bearing neighborhood correlation analysis fault diagnosis classification |
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