SOFT-COMPUTING BASED DATA MINING : APPLIED FOR FAULT DIAGNOSIS AND RELIABILITY PROBLEMS EVALUATION IN POWER SYSTEM

Language: English

Published by LAP LAMBERT Academic Publishing, 2020

6202676264 / 9786202676267

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nach der Bestellung gedruckt Neuware - Printed after ordering - In this thesis a noble method of fault locating in a radial power distribution system is discussed. Interval type-2 fuzzy system will ease the calculation involved. The history associated with fault occurred in power system can be effectively used as a strong database. This database will act as the trainer to the interval type-2 fuzzy expert system. A rich history of faulty area will enhance the performance of the interval type-2 Fuzzy Fault Identification System (IT2FFIS). Fault section location aims to identify the faulty area in the power system using the post fault status of protective relays and circuit breakers and diagnose the cause of a fault that has occurred. Restoration cost can be significantly reduced by accurately identifying a fault location and its cause, which also reduces the restoration time of the faulty section. In this thesis methodology based on interval type-2 fuzzy expert system is discussed for assistance to the operators for easy fault detection.The interval type-2 fuzzy sets are used here for data mining for fault location in the distribution system.…

Seller Inventory # 9786202676267

Title
SOFT-COMPUTING BASED DATA MINING : APPLIED FOR FAULT DIAGNOSIS AND RELIABILITY PROBLEMS EVALUATION IN POWER SYSTEM
Author
A. S. Zadgaonkar
Publisher
LAP LAMBERT Academic Publishing
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6202676264
ISBN 13
9786202676267
Item weight
304 grams
Dimensions
220x150x13 mm

AHA-BUCH GmbH

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