Compressed Sensing Technology Applied to Fault Diagnosis of Train Rolling Bearing
Compressed sensing technology is a new approach in the field of signal processing.It can achieve data acquisition and compression at the same time, and express the original signal in a simple way.Network monitoring technology used in detecting the fault of the trains rolling bearing always produce large amounts of datum.Too much of the parse inspection data cause a lot of unnecessary cost of energy and network bandwidth.In this article we propose compressed sensing method to deal with the inspection date of trains rolling bearing which will be transferred in the sensor network to reduce the data quantity.Experimental result show that, after compression and reconstruction, the reconstructed signal still contains most of the information and energy of the original signal, we can still detect the fault of trains rolling bearing from the reconstructed signal accurately.
Compressed sensing Networked condition detection Fault diagnosis
Xiaofeng Li Xingchao Fan Limin Jia
School of Traffic and Transportation,Beijing Jiaotong University,Beijing,China School of Electrical Engineering,Beijing Jiaotong University,Beijing,China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University,Beijing,China
国际会议
上海
英文
2056-2061
2012-10-19（万方平台首次上网日期，不代表论文的发表时间）