Lifting wavelet scheme and wavelet energy entropy theory for transient power quality detection

2008 ◽  
Author(s):  
Hui Liu ◽  
GuoHai Liu ◽  
Yue Shen
Keyword(s):  
Power Quality ◽  
Entropy Theory ◽  
Wavelet Energy ◽  
Quality Detection ◽  
Energy Entropy ◽  
Lifting Wavelet ◽  
Wavelet Energy Entropy ◽  
Transient Power Quality

Disturbance Detection Method of Power Quality Based on Mathematical Morphology and Lifting Wavelet

2014 ◽  
Vol 644-650 ◽  
pp. 1205-1208 ◽  
Author(s):  
Xiao Fei Wang ◽  
Xia Chen ◽  
Ning Xia Yang ◽  
Xiao Jing Zhang ◽  
Ya Chao Hu
Keyword(s):  
Power Quality ◽  
Mathematical Morphology ◽  
Impulse Noise ◽  
Detection Method ◽  
Random Noise ◽  
Quality Detection ◽  
Lifting Wavelet ◽  
Simulation Results ◽  
Disturbance Detection ◽  
Detection Principle

Considering in the progress of the power quality detection for disturbance signal, detected signals are often has the problem of random noise and impulse noise, in this paper, by using traditional wavelet de-noising, put forward a detection method of disturbance signal based on mathematical morphology and lifting wavelet, discussed its detection principle and implementation methods. Simulation results show that the method de-noising effect is obvious, can effectively improve the accuracy of the disturbance signal judgment.

Study on Sensor Signal Filtering Based on Wavelet Energy Entropy

2011 ◽  
Vol 63-64 ◽  
pp. 573-578
Author(s):  
Jian Guo Yan ◽  
Dong Li Yuan ◽  
Si Yuan Li ◽  
Xiao Jun Xing
Keyword(s):  
Maximum Entropy Principle ◽  
Noise Signal ◽  
Sensor Data ◽  
Sensor Signal ◽  
Signal Filtering ◽  
Wavelet Energy ◽  
Energy Entropy ◽  
Level Sensor ◽  
Wavelet Energy Entropy ◽  
Fuel Level

In order to increase the fuel level measurement accuracy in aircraft fuel system, the method of sensor signal filtering based on the wavelet energy entropy was put forward. Using the maximum entropy principle the wavelet energy entropy of high-frequency coefficient vector in each level was calculated while the output signal of sensor was analyzed in wavelet multi-resolution mode. Once the sum of wavelet energy entropy for filtered signal and noise signal is maximum, the filtering effect is much better. At the same time, the result of tests which use simulation signal and fuel level sensor data collected from fuel tank oscillation test are all satisfied, it is show that this method is available.

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