HHT-based feature extraction of pump operation instability under cavitation conditions through motor current signal analysis

2020 ◽  
Vol 139 ◽  
pp. 106613 ◽  
Author(s):  
Hui Sun ◽  
Qiaorui Si ◽  
Ning Chen ◽  
Shouqi Yuan
Keyword(s):  
Feature Extraction ◽  
Signal Analysis ◽  
Current Signal ◽  
Pump Operation ◽  
Motor Current

scholarly journals Motor Current Signal Analysis Based on a Matched Subspace Detector

2017 ◽  
Vol 66 (12) ◽  
pp. 3260-3270 ◽  
Author(s):  
Elhoussin Elbouchikhi ◽  
Vincent Choqueuse ◽  
Francois Auger ◽  
Mohamed El Hachemi Benbouzid
Keyword(s):  
Signal Analysis ◽  
Current Signal ◽  
Motor Current

scholarly journals Monitoring gearbox oil viscosity by means of motor current signal analysis

2018 ◽  
Vol 8 (1) ◽  
pp. 30-35
Author(s):  
P A Van Vuuren ◽  
Yuandong Xu ◽  
Fengshou Gu ◽  
A D Ball
Keyword(s):  
Signal Analysis ◽  
Current Signal ◽  
Oil Viscosity ◽  
Motor Current

Condition Feature Extraction of Machine Tools Based on Wavelet Packet Energy Spectrum Analysis and Bispectrum Analysis of Current Signal

2011 ◽  
Vol 101-102 ◽  
pp. 847-850 ◽  
Author(s):  
Teng Fei Fang ◽  
Guo Fu Li
Keyword(s):  
Feature Extraction ◽  
Energy Spectrum ◽  
Real Time ◽  
Spectrum Analysis ◽  
Machine Tools ◽  
Signal Analysis ◽  
Wavelet Packet ◽  
Current Signal ◽  
Load Current ◽  
Working Status

Based on the study of the characteristics of load current signal, this article develops a method to extract features that can be use to distinguish the different working status of machine tools in real-time manner. The features are extracted from wavelet packet energy spectrum and bispectrum of the load current signal, and thus can take advantages of both wavelet packet transforms and bispectrum in signal analysis. Experimental results show that, compared with the features extracted from wavelet packet energy spectrum or bispectrum alone, the features extracted by applying the proposed method can provide better performance in term of identifying the machine working status.

Sign in / Sign up

Export Citation Format

Share Document