Power Quality Faint Disturbance Identification Using Wavelet Packet Energy Entropy and Weighted Support Vector Machines

2007 ◽  
Author(s):  
Guo-sheng Hu ◽  
Feng-feng Zhu ◽  
You-zhi Zhang
Keyword(s):  
Support Vector Machines ◽  
Power Quality ◽  
Wavelet Packet ◽  
Support Vector ◽  
Energy Entropy ◽  
Vector Machines

Material Level Noise Measuring for Steel Ball Coal Mill Based on Energy Entropy of Wavelet Packet and Least Squares Support Vector

2011 ◽  
Vol 383-390 ◽  
pp. 7183-7188
Author(s):  
Zhi Yuan Cai ◽  
Tie Li
Keyword(s):  
Support Vector Machines ◽  
Least Squares ◽  
Wavelet Packet ◽  
Measuring Method ◽  
Steel Ball ◽  
Support Vector ◽  
Energy Entropy ◽  
Vector Machines ◽  
Intelligent Material ◽  
New Material

A new material level noise measuring method of steel ball coal mill was proposed on the basis of energy entropy of wavelet packet and least squares support vector machines. First, four layers wavelet packet decomposition of the acquired noise signals was performed and the wavelet packet energy entropy was extracted; then the eigenvector of wave packet of the noise signals was constructed, the least squares support vector machines were trained to intelligent material level measuring by taking this eigenvector as sample. The simulation result from the proposed method is effective and feasible.

Power quality disturbances classification using support vector machines with optimised time-frequency kernels

2012 ◽  
Vol 4 (2) ◽  
pp. 181 ◽  
Author(s):  
Mihir Narayan Mohanty ◽  
Aurobinda Routray ◽  
Ashok Kumar Pradhan ◽  
Prithviraj Kabisatpathy
Keyword(s):  
Support Vector Machines ◽  
Power Quality ◽  
Support Vector ◽  
Time Frequency ◽  
Vector Machines ◽  
Power Quality Disturbances
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