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基于声发射信号信息距的滚动轴承故障诊断

田晶 艾延廷 赵明 王志 关焦月

田晶, 艾延廷, 赵明, 王志, 关焦月. 基于声发射信号信息距的滚动轴承故障诊断[J]. 航空动力学报, 2017, 32(1): 148-154. doi: 10.13224/j.cnki.jasp.2017.01.020
引用本文: 田晶, 艾延廷, 赵明, 王志, 关焦月. 基于声发射信号信息距的滚动轴承故障诊断[J]. 航空动力学报, 2017, 32(1): 148-154. doi: 10.13224/j.cnki.jasp.2017.01.020
Fault diagnosis for rolling element bearings based on information exergy distance of acoustic emission signal[J]. Journal of Aerospace Power, 2017, 32(1): 148-154. doi: 10.13224/j.cnki.jasp.2017.01.020
Citation: Fault diagnosis for rolling element bearings based on information exergy distance of acoustic emission signal[J]. Journal of Aerospace Power, 2017, 32(1): 148-154. doi: 10.13224/j.cnki.jasp.2017.01.020

基于声发射信号信息距的滚动轴承故障诊断

doi: 10.13224/j.cnki.jasp.2017.01.020
基金项目: 国家自然科学基金(51505300);中航工业产学研专项项目(cxy2012sh17)

Fault diagnosis for rolling element bearings based on information exergy distance of acoustic emission signal

  • 摘要: 在信息熵理论基础上,提出了一种融合小波能谱与马氏距离的信息距滚动轴承故障诊断方法.利用双转子试验台对滚动轴承内圈故障、外圈故障、滚动体故障、内圈滚动体故障和内圈外圈故障进行模拟,并采集其声发射信号.利用提出的信息距方法对获取的声发射信号进行分析,成功实现滚动轴承单一故障和耦合故障诊断.结果表明该方法信息利用率高于信息熵方法,能够清晰和准确地诊断出滚动轴承早期故障,效果明显优于信息熵距的诊断方法.

     

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出版历程
  • 收稿日期:  2016-03-23
  • 刊出日期:  2017-01-28

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