Compressed Sensing Technology Applied to Fault Diagnosis of Train Rolling Bearing

Xiao Feng Li; Xing Chao Fan; Li Min Jia

doi:10.4028/www.scientific.net/AMM.226-228.2056

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 226-228Compressed Sensing Technology Applied to Fault...

Compressed Sensing Technology Applied to Fault Diagnosis of Train Rolling Bearing

Abstract:

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 train’s 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 a compressed sensing method to deal with the inspection date of train’s 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 train’s rolling bearing from the reconstructed signal accurately.

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Periodical:

Applied Mechanics and Materials (Volumes 226-228)

Pages:

2056-2061

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.226-228.2056

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Online since:

November 2012

Authors:

Xiao Feng Li, Xing Chao Fan, Li Min Jia

Keywords:

Compressed Sensing, Fault Diagnosis, Networked Condition Detection

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