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Computer-aided Maintenance Jay Lee

Computer-aided Maintenance By Jay Lee

Computer-aided Maintenance by Jay Lee


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Summary

In today's business environment, reliability and maintenance drastically affect the three key elements of competitiveness - quality, cost, and product lead time.

Computer-aided Maintenance Summary

Computer-aided Maintenance: Methodologies and Practices by Jay Lee

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.

Table of Contents

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.

Additional information

NPB9780412629709
9780412629709
0412629704
Computer-aided Maintenance: Methodologies and Practices by Jay Lee
New
Hardback
Chapman and Hall
1999-01-31
409
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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