A discrete wavelet transform and fuzzy logic algorithm for identifying the location of fault in underground distribution system

2013 ◽  
Author(s):  
S. Bunjongjit ◽  
A. Ngaopitakkul ◽  
C. Pothisarn
Keyword(s):  
Fuzzy Logic ◽  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Distribution System ◽  
Discrete Wavelet ◽  
Fuzzy Logic Algorithm

Assessment of Power Quality based on Fuzzy Logic and Discrete Wavelet Transform for Nonstationary Disturbances

2010 ◽  
Author(s):  
Pampa Sinha ◽  
Sudipta Nath ◽  
Swapan Paruya ◽  
Samarjit Kar ◽  
Suchismita Roy
Keyword(s):  
Fuzzy Logic ◽  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Power Quality ◽  
Discrete Wavelet

Discrete Wavelet Transform for Fault Locations in Underground Distribution System

2010 ◽  
Author(s):  
C. Apisit ◽  
A. Ngaopitakkul ◽  
Sio-Iong Ao ◽  
Hideki Katagir ◽  
Li Xu ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Distribution System ◽  
Discrete Wavelet

scholarly journals Classification of fetal abnormalities based on CTG signal

2014 ◽  
Vol 11 (2) ◽  
pp. 681-689
Author(s):  
Baghdad Science Journal
Keyword(s):  
Neural Networks ◽  
Heart Rate ◽  
Fuzzy Logic ◽  
Artificial Neural Networks ◽  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Fetal Heart Rate ◽  
Fetal Heart ◽  
Discrete Wavelet ◽  
Artificial Neural

The fetal heart rate (FHR) signal processing based on Artificial Neural Networks (ANN),Fuzzy Logic (FL) and frequency domain Discrete Wavelet Transform(DWT) were analysis in order to perform automatic analysis using personal computers. Cardiotocography (CTG) is a primary biophysical method of fetal monitoring. The assessment of the printed CTG traces was based on the visual analysis of patterns that describing the variability of fetal heart rate signal. Fetal heart rate data of pregnant women with pregnancy between 38 and 40 weeks of gestation were studied. The first stage in the system was to convert the cardiotocograghy (CTG) tracing in to digital series so that the system can be analyzed ,while the second stage ,the FHR time series was transformed using transform domains Discrete Wavelet Transform(DWT) in order to obtain the system features .At the last stage the approximation coefficients result from the Discrete Wavelet Transform were fed to the Artificial Neural Networks and to the Fuzzy Logic, then compared between two results to obtain the best for classifying fetal heart rate.

Classifying the Fault Type in Underground Distribution System Based on Fuzzy Logic Algorithm

2017 ◽  
Vol 8 (2) ◽  
pp. 557
Author(s):  
M. Sudha
Keyword(s):  
Fuzzy Logic ◽  
Distribution System ◽  
Discrete Wavelet ◽  
Current Waveform ◽  
Mother Wavelet ◽  
Fuzzy Logic Algorithm ◽  
Fault Type

This paper exhibits the best possible information example of fluffy rationale calculation for blame sort characterization in underground link. The proposed calculation utilizing mix of discrete wavelet changes (DWT) and fluffy rationale. The DWT is connected to concentrate high recurrence segment from blame current waveform utilizing mother wavelet daubechies4 (db4). The most extreme coefficients detail of DWT and greatest proportion of DWT, acquired from stage A, B, C and zero succession of blame current waveforms have been utilized as an info factors for choice calculation. The acquired outcomes in term of normal exactness have demonstrated that the most extreme proportion of DWT can accomplished tasteful precision in blame sort order.

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