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Intelligent Machine Fault Diagnosis and Prognosis Book

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Description

This professional resource explores the essential aspects of condition monitoring, fault diagnosis, and prognosis for industrial machinery. As industries seek to increase reliability and minimize production losses, understanding early fault detection becomes vital. This text addresses the growing need for systems that increase equipment availability and performance while reducing consequential damage. By focusing on the development of artificial intelligence techniques, the book provides insight into how intelligent systems can prolong machine life and reduce the need for breakdown maintenance. It serves as a guide for managing spare parts inventories and improving overall industrial efficiency through advanced diagnostic methods.

Key Features

Covers essential methods for condition monitoring and fault diagnosis of industrial machinery.

Explores how early fault detection increases equipment availability and performance.

Discusses the use of artificial intelligence techniques in developing intelligent systems.

Provides information on reducing consequential damage and prolonging machine life.

Addresses strategies to reduce spare parts inventories and breakdown maintenance.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 July 2009
Listed Since
10 October 2008

Barcode

No barcode data available

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