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eBook Condition-based Maintenance and Machine Diagnostics ePub

eBook Condition-based Maintenance and Machine Diagnostics ePub

by J.H. Williams,A. Davies,P.R. Drake

  • ISBN: 0412465000
  • Category: Management and Leadership
  • Subcategory: Perfomance and Work
  • Author: J.H. Williams,A. Davies,P.R. Drake
  • Language: English
  • Publisher: Springer; 1994 edition (July 31, 1994)
  • Pages: 188
  • ePub book: 1894 kb
  • Fb2 book: 1550 kb
  • Other: rtf lrf mobi docx
  • Rating: 4.5
  • Votes: 273

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Condition-based monitoring is an accepted feature of many industries: petro-chemical, power generation, coal . Williams, A. Davies, .

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. Condition-based monitoring is an accepted feature of many industries: petro-chemical, power generation, coal mining and steel-making, for instance.

oceedings{nbasedMA, title {Condition-based maintenance and machine diagnostics}, author {John H. Williams and Alan G. Davies and Paul R. Drake}, year {1994} }. John H. Williams, Alan G. Davies, Paul R. Drake. ntroduction - aspects of maintenance. 2. Maintenance information systems. 3. Basic diagnostic techniques. 4. Vibration monitoring. 5. Fluid condition and particle monitoring. 6. Systems approach to condition monitoring. 7. Application of system condition monitoring. 8. Processing of diagnostics data.

Condition-based maintenance is also reactive, because maintenance is only performed when . Davies and . Usage-based maintenance.

Condition-based maintenance is also reactive, because maintenance is only performed when the part’s condition falls below a certain predefined standard. However, it is also proactive in the sense that its condition must be regularly assessed throughout its life, and preemptive action avoids the eventual failure of the equipment. Condition-based maintenance requires a pre-defined standard to be documented, including a margin of tolerance.

Based Maintenance and Machine Diagnostics, Springer, 2006. Williams, Alan Davies, Paul R. Drake, Condition-. B. K. N. Rao, Handbook on Condition Monitoring, Elsevier. Condition-based maintenance (CBM) is the use of machinery run-time data to determine the machinery condition and hence its current fault, failure condition, which can be used to schedule, required repair and maintenance prior to breakdown. CBM is based on detecting causes or symptoms of a future failure so that it can be handled most cost effectively before its occurrence.

H. Davies, and P. R. Drake, Condition-Based Maintenance and Machine Diagnostics, London: Chapman &Hall, 1994. Theory and Technology Frame of Reliability System Engineering. Kang, " Theory and Technology Frame of Reliability System Engineering, " Journal of Aeronautics, vol. 5, pp. 15-21, 2005. Proactive Maintenance. P. Hedlich, " Proactive Maintenance, " Naval Engineers Journal. 43, no. 2, pp. 76-81, 1996. RCFA + RCM Formula for Successful Maintenance.

Condition based maintenance; . System input/output monitoring; A. 18. Commercial applications of wear debris analysis; A. Part Six: Adopting a Condition-Based Maintenance Strategy. Part Two: Techniques for Visual Inspection. Visual inspection systems; A. Davies. 9. System monitoring and the use of models; . 10. Commercial applications of performance monitoring; A. Part Four: Techniques for Vibration Monitoring. 19. Financial implications and cost justification; G. Eade. 20. Technique selection and implementation in condition monitoring; .

Condition-based maintenance (CbM) refers to a collection of activities, inspections, tests and procedures that are performed in response to the failure or destabilization of equipment, a machine or a material. It focuses on responding to the root causes of machine or material failure, and dealing with those issues after problems occur.

Автор: Williams Название: Condition-based Maintenance and Machine Diagnostics Издательство: Springer Классификация .

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.