Wavelet-based fault classification scheme for a transmission line using a support vector machine

Electric Power Components and Systems

Volumn 36, Issue 10, 2008, Pages 1017-1030

  Bhalja, Bhavesh ^a   Maheshwari, R P ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

Fault classification accuracy; Feature extraction; Ground index; Support vector machine; Two terminal transmission line; Wavelet transform

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLASSIFIERS; ELECTRIC FAULT LOCATION; ELECTRIC LINES; FEATURE EXTRACTION; FEEDFORWARD NEURAL NETWORKS; IMAGE RETRIEVAL; LEARNING SYSTEMS; NEURAL NETWORKS; POLYNOMIAL APPROXIMATION; POLYNOMIALS; POWER TRANSMISSION; RADIAL BASIS FUNCTION NETWORKS; SIGNAL PROCESSING; TRANSMISSION LINE THEORY; VECTORS; WAVELET DECOMPOSITION; WAVELET TRANSFORMS;

CLASSIFICATION PERFORMANCE; CROSS VALIDATIONS; DISTANCE PROTECTIONS; EXTENSIVE SIMULATIONS; FAULT CLASSIFICATION; FAULT CLASSIFICATION ACCURACY; FAULT CONDITIONS; FAULT DATA; GAUSSIAN RADIAL BASIS FUNCTION; GROUND DETECTION; GROUND INDEX; HIGH-ACCURACY; KERNEL FUNCTIONS; MEASURED SIGNALS; NEW APPROACHES; OPERATING CONDITIONS; OVERHEAD TRANSMISSION LINES; POLYNOMIAL KERNELS; RBF KERNELS; REGULARIZATION PARAMETERS; SUPPORT VECTOR MACHINE; SVM CLASSIFIERS; TRAINING AND TESTING; TRAINING SETS; TRANSMISSION LINE; TWO-TERMINAL TRANSMISSION LINE; WAVELET TRANSFORM;

SUPPORT VECTOR MACHINES;

EID: 51849113420     PISSN: 15325008     EISSN: 15325016     Source Type: Journal    
DOI: 10.1080/15325000802046496     Document Type: Article

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