Evaluation of a new proposal for an arcing fault detection method based on wavelet packet analysis

2004 ◽  
Vol 14 (3) ◽  
pp. 161-174 ◽  
Author(s):  
Andoni Lazkano ◽  
Jesus Ruiz ◽  
Elisabete Aramendi ◽  
Luis A. Leturiondo
Keyword(s):  
Fault Detection ◽  
Detection Method ◽  
Wavelet Packet ◽  
Wavelet Packet Analysis ◽  
Arcing Fault

Rolling Bearing Fault Detection Method Based on Wavelet Packet Energy Spectrum - PLS

2014 ◽  
Vol 971-973 ◽  
pp. 697-700 ◽  
Author(s):  
Fang Qian Li ◽  
Yu Gang Fan ◽  
Ya Xiong Zhang
Keyword(s):  
Energy Spectrum ◽  
Fault Detection ◽  
Detection Method ◽  
Feature Vector ◽  
Wavelet Packet ◽  
Vibration Signal ◽  
Rolling Bearing ◽  
Frequency Bands ◽  
Detection Model ◽  
Spectrum Feature

For the problem of rolling bearing mechanical fault detection, this paper proposed a fault detection method based on wavelet packet energy spectrum and partial least squares (PLS). Firstly, the collected vibration signal was decomposed by wavelet packet into independent frequency bands. The different frequencies energy spectrum could be collected from the independent frequency bands. That means the energy spectrum feature vectors whose changes reflect the running state could be constructed. Then analyze the energy spectrum feature vector by PLS, and establish the fault detection model. The fault could be detected by the T2 and SPE statistics. Finally, the experimental results showed that the method is feasible and effective.

scholarly journals A Fault Detection Method of Rolling Bearing Based on Wavelet Packet-cepstrum

2013 ◽  
Vol 5 (12) ◽  
pp. 3402-3406 ◽  
Author(s):  
Jun Ma ◽  
Jiande Wu ◽  
Xiaodong Wang ◽  
Yugang Fan ◽  
Tingting Leng
Keyword(s):  
Fault Detection ◽  
Detection Method ◽  
Wavelet Packet ◽  
Rolling Bearing
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