Condition-based Maintenance and Machine Diagnostics

J. H. Williams

ISBN 10: 0412465000 / ISBN 13: 9780412465000

Edité par Springer Netherlands, Springer Netherlands, 1994

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - Condition-based monitoring is an accepted feature of many industries: petro-chemical, power generation, coal mining and steel-making, for instance. In manufacturing, its application has been somewhat muted. This text attempts to present the fundamental justification for condition-based maintenance together with enough analytic and practical guidance for its implementation. There are chapters on the two dominant techniques of vibration and debris analysis. Also, basic diagnostic methods are given along with a presentation of the systems approach to condition monitoring. A detailed case study shows the practical application of the techniques presented. Finally, future developments in the use of expert systems and A1 techniques are highlighted. Condition-based Maintenance and Machine Diagnostics gives details of both off-the-shelf solutions and analytic diagnostic techniques to enable a bespoke solution to be developed. It is suitable for senior undergraduates and postgraduates in the field of manufacturing and industrial engineering, and it furnishes managers in industry with sufficient information to judge the usefulness of the techniques for their particular application.

N° de réf. du vendeur 9780412465000

Détails bibliographiques

• Titre: Condition-based Maintenance and Machine Diagnostics
• Éditeur: Springer Netherlands, Springer Netherlands
• Date de parution: 1994
• Langue: anglais
• ISBN à 10 chiffres: 0412465000
• ISBN à 13 chiffres: 9780412465000
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 241 L x 160 H x 16 P (en millimètres) 241 millimètres de largeur par 160 millimètres de hauteur par 16 millimètres de profondeur
• Poids: 471 grammes

A propos de ce titre

Synopsis

Condition-based monitoring is an accepted feature of many industries: petro-chemical, power generation, coal mining and steel-making, for instance. In manufacturing, its application has been somewhat muted.
This text attempts to present the fundamental justification for condition-based maintenance together with enough analytic and practical guidance for its implementation. There are chapters on the two dominant techniques of vibration and debris analysis. Also, basic diagnostic methods are given along with a presentation of the systems approach to condition monitoring. A detailed case study shows the practical application of the techniques presented. Finally, future developments in the use of expert systems and A1 techniques are highlighted.
Condition-based Maintenance and Machine Diagnostics gives details of both off-the-shelf solutions and analytic diagnostic techniques to enable a bespoke solution to be developed.
It is suitable for senior undergraduates and postgraduates in the field of manufacturing and industrial engineering, and it furnishes managers in industry with sufficient information to judge the usefulness of the techniques for their particular application.