scholarly journals A novel transmission line relaying scheme for fault detection and classification using wavelet transform and linear discriminant analysis

2015 ◽  
Vol 6 (1) ◽  
pp. 199-209 ◽  
Author(s):  
Anamika Yadav ◽  
Aleena Swetapadma
Keyword(s):  
Wavelet Transform ◽  
Discriminant Analysis ◽  
Fault Detection ◽  
Transmission Line ◽  
Linear Discriminant Analysis ◽  
Linear Discriminant ◽  
Fault Detection And Classification

Hyperspectral Data Analysis for Detecting Lead Pollution in Rice

2013 ◽  
Vol 433-435 ◽  
pp. 456-459
Author(s):  
Wei Hong Zhu ◽  
Cheng Zhe Xu
Keyword(s):  
Wavelet Transform ◽  
Data Analysis ◽  
Discriminant Analysis ◽  
Linear Discriminant Analysis ◽  
Hyperspectral Data ◽  
Experimental Result ◽  
Discrete Wavelet ◽  
Lead Pollution ◽  
Linear Discriminant ◽  
Reduced Data

This paper presents a new method for detecting lead pollution in rice by analyzing hyperspectral data. First, preprocessing method is used to remove the outliers which deviate so much from other hyperspectral data. Then, dimensionality-reduced data are made by using discrete wavelet transform. Finally, linear discriminant analysis is utilized to extract the feature which characterizes polluted and unpolluted rice. The experimental result based on the proposed method shows the good performance in detecting lead pollution in rice.

scholarly journals WAVELET-BASED TRANSMISSION LINE FAULT DETECTION AND CLASSIFICATION

2013 ◽  
pp. 58-63
Author(s):  
KULKARNISAKEKAR SUMANT SUDHIR ◽  
R.P. HASABE
Keyword(s):  
Wavelet Transform ◽  
Fault Detection ◽  
Power System ◽  
Transmission Line ◽  
Discrete Wavelet Transform ◽  
Discrete Wavelet ◽  
Fault Detection And Classification ◽  
Power System Faults ◽  
Detail Coefficient

An appropriate method of fault detection and classification of power system transmission line using discrete wavelet transform is proposed in this paper. The detection is carried out by the analysis of the detail coefficients energy of phase currents. Discrete Wavelet Transform (DWT) analysis of the transient disturbance caused as a result of occurrence faults is performed. The work represented in this paper is focused on classification of simple power system faults using the maximum detail coefficient, energy of the signal and the ratio of energy change of each type of simple simulated fault are characteristic in nature and used for distinguishing fault types.

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