[1]柳晨曦,苏文胜,薛志钢,等.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,(08):94-97.
 Improved neighborhood correlation method used in fault diagnosis for slewing bearings[J].,2019,(08):94-97.
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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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《起重运输机械》[ISSN:1001-0785/CN:11-1888/TN]

卷:
期数:
2019年08期
页码:
94-97
?#25913;?
故障诊断
出版日期:
2019-05-31

文章信息/Info

Title:
Improved neighborhood correlation method used in fault diagnosis for slewing bearings
文章编号:
1001-0785(2019)08-0094-04
作者:
柳晨曦苏文胜薛志钢王奉涛刘晓飞
分类号:
TH165+.3
文献标志码:
A
摘要:
回转支承是近40年发展起来的一?#20013;?#22411;零部件,广泛应用于各领域重大装备中。由于其运行速度极低、旋转方向和旋转角度多变、承载能力高、工作环境复杂,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。本文对现场回转支承三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之后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。
Abstract:
Slewing bearings have been widely used for 4 decades in various fields equipment. Owing to its low speed, multiple rotation speed direction, heavy load complicated working condition, it is necessary to conduct fault diagnosis to maintain normal operation. This study focused on the vibration signals collected from 3 different working conditions of the slewing bearing. The signals were denoised by removing the mean. Then, improved neighborhood correlation method was adopted to diagnose classify faults occurring in different conditions. The simulated practical data were used to verify the feasibility of the method, this study provided a reference to fault diagnosis of slewing bearings.
更新日期/Last Update: 2019-07-02
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