کتاب دانلود کتب لاتین علوم مهندسیبرق و الکترونیک
پردازش سیگنال برای ردیابی و تشخیص عیب در ماشین ها و سیستم های الکتریکی
پردازش سیگنال برای ردیابی و تشخیص عیب در ماشین ها و سیستم های الکتریکی

Signal Processing for Fault Detection and Diagnosis in Electric Machines and Systems
نویسنده: Mohamed Benbouzid
سال انتشار: 2021
تعداد صفحات: 284
زبان فایل: English
فرمت فایل: pdf
حجم فایل: 24MB
قیمت: 500,000ريال

افزودن به سبد دانلود

Publisher : The Institution of Engineering and Technology

ISBN-10 : 1785619578

ISBN-13 : 978-1785619571

Over the last three decades, the search for competitiveness and growth gains has driven the evolution of machine maintenance policies, and the industry has moved from passive maintenance to active maintenance with the aim of improving productivity. Active maintenance requires continuous monitoring of industrial systems in order to increase reliability, availability rates and guarantee the safety of people and property.

This book presents the main advanced signal processing techniques for fault detection and diagnosis in electromechanical systems. It focuses on presenting these advanced tools from time-frequency representation and time-scale analysis to demodulation techniques, including innovative and recently developed options. Each technique is evaluated and compared, and its advantages and drawbacks highlighted. Parametric spectral analysis, which aims to handle some of the main drawbacks of these approaches, is introduced as a potential solution.

Signal Processing for Fault Detection and Diagnosis in Electric Machines and Systems offers thorough, analytical coverage of the following topics: parametric signal processing approach; the signal demodulation techniques; Kullback-Leibler divergence for incipient fault diagnosis; high-order spectra (HOS); and fault detection and diagnosis based on principal component analysis. Finally, a brief conclusion suggests some possibilities for the future direction of the field.

The book is a useful resource for researchers and engineers whose work involves electrical machines or fault detection specifically, and also of value to postgraduate students with an interest in entering this field.