Name: Intelligent Fault Detection and Diagnosis Techniques for Monitoring Wind and Solar Systems
SKU: 64763972
Price: 193670.00 CLP
Availability: InStock
Author: Abdelmalek Kouadri;Mohamed N. Nounou;Mohamed Faouzi Harkat;Mansour Hajji;Majdi Mansouri;Hazem N. Nounou
ISBN: 9780443450167

portada Intelligent Fault Detection and Diagnosis Techniques for Monitoring Wind and Solar Systems

Intelligent Fault Detection and Diagnosis Techniques for Monitoring Wind and Solar Systems

Formato

Libro Físico

Editorial

Elsevier - Health Sciences Division

Autor

Abdelmalek Kouadri;Mohamed N. Nounou;Mohamed Faouzi Harkat;Mansour Hajji;Majdi Mansouri;Hazem N. Nounou

Año

2025

N° páginas

190

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2 cm

ISBN13

9780443450167

Intelligent Fault Detection and Diagnosis Techniques for Monitoring Wind and Solar Systems

Abdelmalek Kouadri;Mohamed N. Nounou;Mohamed Faouzi Harkat;Mansour Hajji;Majdi Mansouri;Hazem N. Nounou (Autor) · Elsevier - Health Sciences Division · Tapa Blanda

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Reseña del libro "Intelligent Fault Detection and Diagnosis Techniques for Monitoring Wind and Solar Systems"

Intelligent Fault Detection and Diagnosis Techniques for Monitoring Wind and Solar Energy Systems provides innovative solutions for fault detection and diagnosis in renewable energy systems. By leveraging advanced AI-based techniques such as deep learning, multiscale representation, and statistical analysis, this book aims to enhance system reliability, performance, and cost-efficiency. Readers will gain insights into the fundamentals of FDD processes tailored for photovoltaic and wind turbine operations. The book delves into data preprocessing techniques, feature extraction and selection methods, and optimization of deep learning models. It also includes case studies and explores future directions for AI and machine learning in renewable energy, making it valuable for researchers, engineers, and policy makers.