The Research on the Low Clutch’s Noise Detection Technology which Based on the Wavelet Transform

Article Preview

Abstract:

The essay introduce the hardware Design based on the Line detection system, and apply the wavelet analysis theory to the low clutch’s fault signal processing to fulfill the low clutch’s noise detection which based on the wavelet transform. Practice shows that the continuous wavelet signal has a strong ability of fault detection, if reasonable choice of wavelet function and various parameters among the fault detection, the local feature of the fault signal can be intuitively got, thus supply the products with a effective tool. The current washing machine clutch all have a washing deceleration function, so it is called as low clutch. As one of the most common parts of rotating machinery, low clutch is also one of the easily damaged parts among the rotating machinery. According to statistics, thirty percent of the rotating machinery’s operational problems caused by the bearing faults[1]. Bearing defects can cause severely machine vibration and generation noise, or even cause damage to the equipment[4]. This article is mainly detect the low clutch’s vibration noise in operation by accelerometer, and deal with the collected data through wavelet transform, thus realize the On-line condition monitoring to the low clutch.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

4082-4086

Citation:

Online since:

January 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Chen Yao-dong, Wang Peng-fei, etal. Research on fault diagnosis of slowdown clutch based on expert system, Automation and instrumentation. 2009, 5: 9-11.

Google Scholar

[2] Wang-Jing, Chen Yao-dong, etal. Research on fault diagnosis method of slowdown clutch based on wavelet transform, Industrial control computer . 2008, 24(9): 68-69.

Google Scholar

[3] Su Xiao-yu, Chen Yue-dong. On-Line Clutch detection system design based on multithreading technology. Ordnance industry automation, 2007, 26(12): 78-80.

Google Scholar

[4] Meng-Tao. Vibration analysis and diagnosis on the fault of the gear and rolling element bearing. Northwestern Polytechnic University Doctor's Thesis. 2003. 9.

Google Scholar