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Introduction of Intelligent Machine Fault Diagnosis and Prognosis
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Authors: Bo-Suk Yang ( Pukyong National Univ., Yongdang Campus, Nam-gu, Busan, South Korea) Achmad Widodo(Univ. of Diponegoro, Tembalang, Semrang, Indonesia) 
Book 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 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 practicing engineers.

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Table of Contents:
About the Author

Chapter 1. Introduction, pp. 1-26

Chapter 2. Data Acquisition, Processing and Analysis, pp. 27-75

Chapter 3. Feature Extraction and Clustering, pp. 77-124

Chapter 4. Feature Selection, pp. 125-162

Chapter 5. Fault Classification Algorithms, pp. 163-259

Chapter 6. Decision Fusion Algorithms, pp. 261-298

Chapter 7. Fault Prognosis Algorithms, pp. 299-334

Appendix pp.335-338
Index pp.339-351

   Binding: Softcover
   Pub. Date: 2011 - 2nd quarter
   Pages: 351.pp
   ISBN: 978-1-60692-263-7
   Status: AV
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
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Introduction of Intelligent Machine Fault Diagnosis and Prognosis