Analysis and calculation of wavelet correlation filtering denoise

Author

Zhang Lixia ; Feng Fuzhou ; Bi Mingguang ; Ji Bogong

Author_Institution

Dept. of Mech. Eng., Acad. of Armoured Force Eng., Beijing, China

fYear

2014

fDate

24-27 Aug. 2014

Firstpage

418

Lastpage

421

Abstract

The energy of vibration signal and noise is very strong during armored vehicle machine system is running. Energy of signal that reflects on early fault is very weak. How to detect early fault effectively from vibration signal and noise is very important. So small wavelet correlation filtering denoise is researched to achieve the goal. Threshold detect is applied to discover vibration signal edge. Noise is removed to increase signal-to-noise ratio. Simulation analysis indicates: compared to tradition method this method is more effective on represent machine running state. New way is provided by this method to abnormal and early fault signal detect.

Keywords

armour; correlation methods; fault diagnosis; filtering theory; military vehicles; signal denoising; signal detection; vibrations; wavelet transforms; armored vehicle machine system; early fault signal detection; noise removal; signal-to-noise ratio; simulation analysis; threshold detect; vibration signal edge; vibration signal energy; wavelet correlation filtering denoise; Correlation; Filtering; Noise; Vibrations; Wavelet coefficients; denoise; early fault diagnosis; threshold detect; wavelet correlation;

fLanguage

English

Publisher

ieee

Conference_Titel

Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014

Conference_Location

Zhangiiaijie

Print_ISBN

978-1-4799-7957-8

Type

conf

DOI

10.1109/PHM.2014.6988206

Filename

6988206