Stationary wavelet transform for fault detection in rotating machinery

2007 ◽  
Author(s):  
Serhat Seker ◽  
Erinc Karatoprak ◽  
A. H. Kayran ◽  
Tayfun Senguler
Keyword(s):  
Wavelet Transform ◽  
Fault Detection ◽  
Rotating Machinery ◽  
Stationary Wavelet Transform

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

2012 ◽  
Vol 433-440 ◽  
pp. 4082-4086
Author(s):  
Yue Dong Chen ◽  
Chang Zhong Yu
Keyword(s):  
Wavelet Transform ◽  
Fault Detection ◽  
Detection System ◽  
Rotating Machinery ◽  
Noise Detection ◽  
Machine Vibration ◽  
Bearing Defects ◽  
Detection Technology ◽  
On Line ◽  
Reasonable Choice

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.

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