Introduction of Intelligent Machine Fault Diagnosis and Prognosis

by: o-Suk Yang - Achmad Widodo

Introduction of Intelligent Machine Fault Diagnosis and Prognosis
Author: o-Suk Yang, Achmad Widodo

Publisher: Nova Science Publishers Inc

List price: £ 74.50

Deastore.com price (info) € 100.89

Format: Paperback / softback

Publication date: 30 December 2009

Availability: (info) Not available

ISBN: 1606922637 ISBN 13: 9781606922637

Introduction of Intelligent Machine Fault Diagnosis and Prognosis by o-Suk Yang - Achmad Widodo

Condition monitoring, fault diagnosis and prognosis of machinery have received considerable attention and they are important in industry because of the need to increase reliability. This book is suitable for those who want to study feature-based intelligent machine fault diagnosis and prognosis techniques. Top page

Complete description

Condition monitoring, fault diagnosis and prognosis of machinery have received considerable attention in recent years and they are increasingly becoming important in industry because of the need to increase reliability and decrease possible loss of production due to the fault of equipments. Early fault detection, diagnosis and prognosis can increase equipment availability and performance, reduce consequential damage, prolong machine life and reduce spare parts inventories and break down maintenance. With the development of the artificial intelligence techniques, many intelligent systems have been employed to assist the maintenance management task to correctly interpret the fault data.The book is very easy to study; even if the reader is a beginner in the fault diagnosis area, they do not need special prerequisite knowledge to understand the contents of this book. The book is equipped with software under MATLAB and offers many examples which are related to fault diagnosis processes. It will be very useful to readers who want to study feature-based intelligent machine fault diagnosis and prognosis techniques. The book is dedicated to graduate students of mechanical and electrical engineering, computer science and for practising engineers. Top page

General info

Publisher & Imprint: Nova Science Publishers Inc

City: New York

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Age recommended: General/trade

Subject Indexing & Classification Dewey: 620.0044 Library of Congress Subject: Expert systems (Computer science)

Summary Introduction of Intelligent Machine Fault Diagnosis and Prognosis Preface; Introduction; Data Acquisition, Processing and Analysis; Feature Extraction and Clustering; Feature Selection; Fault Classification Algorithms; Decision Fusion Algorithms; Fault Prognosis Algorithms; Index. Top page

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