Computer-aided Maintenance: Methodologies and Practices: Manufacturing Systems Engineering Series, cartea 5
Editat de Jay Lee, Ben Wangen Limba Engleză Hardback – 31 ian 1999
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Specificații
ISBN-13: 9780412629709
ISBN-10: 0412629704
Pagini: 428
Ilustrații: XIII, 409 p.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.65 kg
Ediția:1999
Editura: Springer Us
Colecția Springer
Seria Manufacturing Systems Engineering Series
Locul publicării:New York, NY, United States
ISBN-10: 0412629704
Pagini: 428
Ilustrații: XIII, 409 p.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.65 kg
Ediția:1999
Editura: Springer Us
Colecția Springer
Seria Manufacturing Systems Engineering Series
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
One Methodologies.- 1. Fundamentals of maintenance.- 2. Fundamentals of sensory systems for maintenance engineering.- 3. Related work on machine monitoring and diagnostics.- 4. Parametric modeling methods: theory and a case study.- 5. Machine performance estimation and reliability modeling.- 6. Design methodology for self-maintenance machines.- 7. Integrated prognostics, maintenance and life-extending control of continuous-time production processes.- 8. An integrated automated root cause identification fuzzy neural network reasoning for quality control.- 9. Maintenance using activity-based costing (ABC).- 10. Life cycle maintenance management.- 11. Life extension of operating machinery using the National Information Infrastructure (NII).- Two Case Examples.- 12. Case Example 1: Motor incipient fault detection using artificial neural network and fuzzy logic technologies.- 13. Case Example 2: Data analysis for diagnostics and process monitoring of automotive engines.- 14. Case Example 3: Measurement of machine performance degradation using a neural network model.- 15. Case Example 4: Detection and isolation of faults in the stamping process using the Haar transform.- 16. Case Example 5: Fault monitoring in manufacturing systems using template models.- 17. Case Example 6: In-process diagnosis of tool failures in milling.- 18. Case Example 7: Monitoring and predicting surface roughness and bore tolerance in end-milling.