£107.19

Elsevier Power System Fault Diagnosis - Intelligent Approach

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£107.19 £99.38 £101.08 £102.79 £104.49 £106.20 £107.90 27 January 2026 16 February 2026 09 March 2026 30 March 2026 20 April 2026

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20 days 21 days 1 day 32 days 10 days · current 0 8 16 24 32 £100 £101 £101 £106 £107 Days at Price

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Most common price: £106 (32 days, 38.1%)

Price range: £100 - £107

Price levels: 5 different prices over 84 days

Description

Power System Fault Diagnosis: A Wide Area Measurement Based Intelligent Approach provides a detailed look at modern methods for identifying electrical faults. This book addresses the urgent need for efficient diagnosis to reduce outage durations and minimize revenue losses by speeding up the restoration process. Designed for professionals and students in the electrical engineering field, the text covers intelligent fault diagnosis schemes for both transmission and distribution level power system networks. It utilizes data acquired from phasor measurement units to provide a practical framework for modern grid management. Readers will find a structured exploration of power grid modeling, fault modeling, and feature extraction processes. By examining various fault diagnosis techniques, this Elsevier publication offers a technical foundation for understanding how wide area measurements can improve the reliability and stability of electrical networks.

Key Features

Covers intelligent fault diagnosis schemes for both transmission and distribution level power system networks.

Utilizes data acquired from phasor measurement units to support wide area measurement approaches.

Provides detailed guidance on power grid modeling and fault modeling processes.

Explains feature extraction processes necessary for effective fault identification.

Explores various fault diagnosis techniques to help reduce outage duration and revenue losses.

Offers a technical overview aimed at expediting the power system restoration process.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
24 January 2022
Listed Since
25 June 2021

Barcode

No barcode data available

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