Machinery Failure Analysis and Troubleshooting (vol. 2) (Practical Machinery Management for Process Plants)

Bloch, Heinz P.; Geitner, Fred K.

ISBN 10: 0872018725 / ISBN 13: 9780872018723

Published by Gulf Publishing Co, Houston, TX., 1990

About this Item

Pages are clean and unmarked. Cover corners and edges are unmarred. Binding is tight.

Seller Inventory # 069702

Bibliographic Details

• Title: Machinery Failure Analysis and Troubleshooting (vol. 2) (Practical Machinery Management for Process Plants)
• Publisher: Gulf Publishing Co, Houston, TX.
• Publication Date: 1990
• Language: English
• ISBN 10: 0872018725
• ISBN 13: 9780872018723
• Binding: Hardcover
• Edition: 2nd Edition
• Printing: 3rd Printing
• Condition: Very Good
• Dust Jacket Condition: No Jacket

About this title

Synopsis

This newly expanded edition discusses proven approaches to defining causes of machinery failure as well as methods for analyzing and troubleshooting failures.

From the Author

Equipment failure analysis made understandable for all!
Our revised 3rd Edition represents many decades of root cause failure analysis experience and explains successful methods with total clarity. We have included field examples dealing with equipment metallurgy and machinery configuration. We give solid guidance on optimized component geometries and zero-cost modifications that have been implemented by "Best-of-Class" performers. We show that ALL machinery failures are attributable to only 7 root cause categories, and that ANY component that ever fails will do so only because constraints imposed by one of 4 basic failure agents, Force, a Reactive Environment, Time, or Temperature ("FRETT") have been violated. Failure initiators are then determined from the observed failure modes. The text, which contains hundreds of good illustrations, has been used in teaching the subject on all six continents. Its content is short on philosophies and full of highly practical recommendations. It is certain to save the reader time and money by presenting the experience-based practices of the most resourceful practitioners of reliability engineering.