机械科学与技术2017,Vol.36Issue(10):1536-1541,6.DOI:10.13433/j.cnki.1003-8728.2017.1009
时域压缩特征提取及压缩感知在设备状态评估中的应用研究
Time-domain Compression Feature Extraction and Application Study of Compressed Sensing in Equipment Status Assessment
摘要
Abstract
Compressed sensing is a new theory of signal acquisition and processing.Base on this theory,compressed data is acquired in the process of compression sampling.In this paper,it is studied that which features is extracted from the compressed data and how these features used for equipment state estimation.Firstly,compressed data is analyzed and the study tried to find the corresponding relationship between compression data and signal sparsity.A time-domain compression characteristics is proposed,and used to extracting characteristic information hidden in the compressed data.Rolling bearing is chosen and time-domain characteristic is used to estimate the operational conditions of the rolling bearing.The method is used to analyze the whole life data of robing bearing.The results show that the time domain compression feature can accurately estimate the running state of rolling bearings,demonstrate the effectiveness of the proposed method.关键词
压缩感知/滚动轴承/特征提取/状态评估Key words
compressed sensing/rolling bearing/feature extraction/state estimation分类
机械制造引用本文复制引用
杨堂锋,刘畅,伍星,柳小勤,刘韬..时域压缩特征提取及压缩感知在设备状态评估中的应用研究[J].机械科学与技术,2017,36(10):1536-1541,6.基金项目
国家自然科学基金项目(51405211)与云南省教育厅科学研究基金项目(2013Y311)资助 (51405211)