Parametric Fault Location of Electrical Circuit Using Support Vector Machine
نویسندگان
چکیده
The paper is concerned with the application of the Support Vector Machine to the discovering of the parametric fault in analog electrical circuits. The recognition of fault is based on the measurements of the accessible terminal voltage and current of the circuit at the set of frequencies. The SVM network fulfills the role of the recognizing system and of the classifier. The numerical results of recognition of faulty elements in the LC filter of the ladder network structure are presented and discussed in
منابع مشابه
Fault diagnosis in a distillation column using a support vector machine based classifier
Fault diagnosis has always been an essential aspect of control system design. This is necessary due to the growing demand for increased performance and safety of industrial systems is discussed. Support vector machine classifier is a new technique based on statistical learning theory and is designed to reduce structural bias. Support vector machine classification in many applications in v...
متن کاملOptimal Current Meter Placement for Accurate Fault Location Purpose using Dynamic Time Warping
This paper presents a fault location technique for transmission lines with minimum current measurement. This algorithm investigates proper current ratios for fault location problem based on thevenin theory in faulty power networks and calculation of short circuit currents in each branch. These current ratios are extracted regarding lowest sensitivity on thevenin impedance variations of the netw...
متن کاملCurrent Directional Protection of Series Compensated Line Using Intelligent Classifier
Current inversion condition leads to incorrect operation of current based directional relay in power system with series compensated device. Application of the intelligent system for fault direction classification has been suggested in this paper. A new current directional protection scheme based on intelligent classifier is proposed for the series compensated line. The proposed classifier uses ...
متن کاملFault detection in complex analog circuits using Support Vector Machines
The aim of this paper is to bring the reader closer to the diagnostics of complex analog systems with parametric faults, using Support Vector Machine (SVM) as a tool for fault location. The results of diagnostics of a video enhancer and two low-pass filters with the help of SVM network are presented, and various SVM kernel functions tested. A strategy for finding the optimal kernels and their p...
متن کاملFault Classification in Electric Power Transmission Lines using Support Vector Machine
Transmission lines forms the backbone of the transmission and distribution networks which powers the nation. No modern society can imagine its existence without power supplies which runs everything ranging from consumer electronics to bullet trains. Electrical power systems suffer from unexpected failures due to various random causes. Unpredicted faults that occur in power systems are required ...
متن کامل