Articles liés à Computer-aided Maintenance: Methodologies and Practices
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Synopsis
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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