Introduction of Intelligent Machine Fault Diagnosis and Prognosis PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Introduction of Intelligent Machine Fault Diagnosis and Prognosis PDF full book. Access full book title Introduction of Intelligent Machine Fault Diagnosis and Prognosis by O-Suk Yang. Download full books in PDF and EPUB format.

Introduction of Intelligent Machine Fault Diagnosis and Prognosis

Introduction of Intelligent Machine Fault Diagnosis and Prognosis PDF Author: O-Suk Yang
Publisher:
ISBN: 9781606922637
Category : Automatic test equipment
Languages : en
Pages : 0

Get Book Here

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 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.