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Facility Management
An Introduction To Predictive Maintenance by R. Keith Mobley β€” book cover

An Introduction To Predictive Maintenance

by Keith Mobley
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Overview

This second edition of An Introduction to Predictive Maintenance helps plant, process, maintenance and reliability managers and engineers to develop and implement a comprehensive maintenance management program, providing proven strategies for regularly monitoring critical process equipment and systems, predicting machine failures, and scheduling maintenance accordingly.

Since the publication of the first edition in 1990, there have been many changes in both technology and methodology, including financial implications, the role of a maintenance organization, predictive maintenance techniques, various analyses, and maintenance of the program itself. This revision includes a complete update of the applicable chapters from the first edition as well as six additional chapters outlining the most recent information available.

Having already been implemented and maintained successfully in hundreds of manufacturing and process plants worldwide, the practices detailed in this second edition of An Introduction to Predictive Maintenance will save plants and corporations, as well as U.S. industry as a whole, billions of dollars by minimizing unexpected equipment failures and its resultant high maintenance cost while increasing productivity.

* A comprehensive introduction to a system of monitoring critical industrial equipment
* Optimize the availability of process machinery and greatly reduce the cost of maintenance
* Provides the means to improve product quality, productivity and profitability of manufacturing and production plants

Synopsis

Predictive maintenance is defined as a condition-driven preventive maintenance program that uses such monitoring techniques as vibration monitoring, process parameter modeling, thermography, tribology, and visual inspection to determine the best scheduling for machine repair in industrial plants. Mobley (president, Integrated Systems, Inc.) describes these and other techniques and explains how to incorporate them into a comprehensive plant-wide maintenance program using analytical tools and organizational strategies. Annotation c. Book News, Inc., Portland, OR

Booknews

A comprehensive introduction to a system of monitoring critical industrial equipment by such techniques as noise analysis and thermal efficiency to predict machine failure as the basis for scheduling maintenance. Suggests how to use microcomputers to implement the methods. Annotation c. Book News, Inc., Portland, OR (booknews.com)

About the Author, R. Keith Mobley

Mr. Mobley is president and CEO of Integrated Systems Inc. of Knoxville, Tenn. He has written numerous publications on such topics as plant performance, maintenance engineering, maintenance management, and predictive maintenance. He is also a contributing editor for Plant Services magazine.

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Editorials

From the Publisher

Mobley has written several books on individual predictive technologies and is a leading consultant on industrial maintenance practices. His latest book will satisfy anyone who wants to understand and begin implementation of predictive maintenance. - Reviewed by Richard Dunn, editor, Plant Engineering, March 2003

The primary audience for this book will be plant managers, process engineers, and managers of maintenance operations, but the book provides useful backround information for anyone interested in the maintenance issues involved in keeping manufacturing operations running efficiently.

- JCT Coatings Tech, March 2004

Booknews

A comprehensive introduction to a system of monitoring critical industrial equipment by such techniques as noise analysis and thermal efficiency to predict machine failure as the basis for scheduling maintenance. Suggests how to use microcomputers to implement the methods. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Book Details

Published
September 1, 2002
Publisher
Butterworth - Heinemann
Pages
437
Format
Hardcover
ISBN
9780750675314

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