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Computer-aided Maintenance

Methodologies and Practices. 'Manufacturing Systems Engineering'. 1999. Auflage. Book. Sprache: Englisch.
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In today's business environment, reliability and maintenance drastically affect the three key elements of competitiveness - quality, cost, and product lead time. Well-maintained machines hold tolerances better, help reduce scrap and rework, and ra... weiterlesen
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Computer-aided Maintenance als Buch
Produktdetails
Titel: Computer-aided Maintenance

ISBN: 0412629704
EAN: 9780412629709
Methodologies and Practices.
'Manufacturing Systems Engineering'.
1999. Auflage.
Book.
Sprache: Englisch.
Herausgegeben von Jay Lee, Ben Wang
Springer US

31. Januar 1999 - gebunden - 428 Seiten

Beschreibung

In today's business environment, reliability and maintenance drastically affect the three key elements of competitiveness - quality, cost, and product lead time. Well-maintained machines hold tolerances better, help reduce scrap and rework, and raise consistency and quality of the part in addition to cutting total production costs. Today, many factories are still performing maintenance on equipment in a reactive manner due to a lack of understanding about machine performance behaviour. To improve production efficiency, computer-aided maintenance and diagnostic methodology must be applied effectively in manufacturing. This book focuses on the fundamental principles of predictive maintenance and diagnostic engineering. In addition to covering the relevant theory, techniques and methodologies in maintenance engineering, the book also provides numerous case studies and examples illustrating the successful application of the principles and techniques outlined.

Inhaltsverzeichnis

List of contributors. Preface. Part One: Methodologies. 1. Fundamentals of maintenance; G.M. Knapp, B. Wang. 2. Fundamentals of sensory systems for maintenance engineering; J. Lee, et al. 3. Related work on machine monitoring and diagnostics; Hsin Hao Huang, B. Wang. 4. Parametric modeling methods: theory and a case study; J. Spoerre, B. Wang. 5. Machine performance estimation and reliability modeling; Chang-Ching Lin, B. Wang. 6. Design methodology for self-maintenance machines; Y. Umeda, et al. 7. Integrated prognostics, maintenance, and life extending control of continuous-time production processes; A. Ray, S. Phoha. 8. Integrated automated root cause identification fuzzy neural network reasoning for quality control; F. Tadayon, J. Lee. 9. Activity-based costing (ABC); A.S. Tsai. 10. Life cycle maintenance management; S. Takata. 11. Life extension of operating machinery using the National Information Infrastructure (NII); S. Phoha, A. Ray. Part Two: Case Examples. 12. Case Example 1: Motor incipient fault detection using artificial neural network and fuzzy logic technologies; Mo-yuen Chow, et al. 12. Case Example 2: Data analysis for diagnostics and process monitoring of automotive engines; B.D. Bryant, K.A. Marko. 14. Case Example 3: Measurement of machine performance degradation using a neural network model; J. Lee. 15. Case Example 4: Detection and isolation of faults in the stamping process using the Haar transform; C.K.H. Koh, W.J. Williams. 16. Case Example 5: Fault monitoring in manufacturing systems using template models; L.E. Holloway. 17. Case Example 6: In-process diagnostics of tool failure in milling; K. Mori. 18. Case Example 7: Monitoring and predicting surface roughness and bore tolerance in end-milling; A. Chukwujekwu Okafor. Index.
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