Title :
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
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;
Conference_Titel :
Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
Conference_Location :
Zhangiiaijie
Print_ISBN :
978-1-4799-7957-8
DOI :
10.1109/PHM.2014.6988206
