Modern computer-aided maintenance of manufacturing equipment and systems: Review and Perspective

Computers and Industrial Engineering

Volumn 28, Issue 4, 1995, Pages 793-811

  Lee, Jay ^a  

^a NATIONAL SCIENCE FOUNDATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER APPLICATIONS; INDUSTRIAL RESEARCH; MACHINERY; MANUFACTURE; MONITORING; PERSONNEL; QUALITY ASSURANCE;

COMPUTER-AIDED MAINTENANCE; FAULT DETECTION; FAULT DIAGNOSTICS; MANUFACTURING EQUIPMENT;

MAINTENANCE;

EID: 0029390447     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/0360-8352(95)00012-P     Document Type: Article

References (57)

1. A three-phase model for quality
2. Assessing machine performance
3. OK isn't not enough
4. A computer-automated statistical process control method with timely response
5. Predicting and optimizing assembly variation
6. Equipment Should Improve Through Use
7. Directions in maintenance
8. Cognitive capability versus system complexity in electronic maintenance
9. Sensor reliability of MTBF
10. Automotive control system diagnostics using neural network for rapid pattern classification of large data sets
11. Application of connectionist learning methods to manufacturing process monitoring
12. Maintenance in the 90's—A Plan to Support the USPS Goal of Automation and Mechanization
13. Element of reliability-based machinery maintenance
14. Contaminant monitoring: the overlooked predictive maintenance
15. Review of computer-aided predictive maintenance technology for machinery
16. Testing of electric motors for monitoring age related degradation
17. The Role of Monitoring Diesel Generator Aging
18. Assessment of diagnostic method for determining degradation of motor-operated valves
19. Check valves: Oak Ridge's New Diagnostics
20. Condition monitoring of machinery using motor current signal analysis
21. Degradation Modelling with Application to Aging and Maintenance Effectiveness Evaluation
22. Monitoring wear with gamma rays
23. Adaptive control tool monitoring in machining
24. Process fault detection based on modelling and estimation methods
25. A survey of design method for failure detection in dynamic system
26. Concepts for a real time sensory interactive control system architecture
27. A fault finding hierarchy for PLC-controlled equipment
28. PLC based diagnostics system for FMS
29. Monitoring manufacturing by means of Petri-nets
30. Computer Simulation, Design and Control Tool
31. Jet and rocket engine fault diagnosis in real time
32. Use of neural networks to identify transient operating conditions in nuclear plants
33. An expert system for machine tool diagnosis
34. A knowledge-based approach for detection and diagnosis out-of-control events in manufacturing processes
35. Fault detection and diagnosis in manufacturing system: a behavioral model approach
36. Qualitative and quantitative approach to the diagnosis of plant faults
37. Symbolic diagnosis for intelligent control
38. Metadiagnosis
39. Diagnosing multiple faults in intelligent control and automated systems
40. Application of heuristic and information theory to sequential fault diagnosis
41. Fault diagnosis in a large dynamic system experiments on a training simulator
42. A methodology for knowledge acquisition and reasoning in failure analysis of system
43. A framework for networked knowledge-based system
44. A topological approach to failure diagnosis of large scale system
45. Failure-driven learning for fault diagnosis heuristics
46. Strategies for diagnosis
47. Interpreting observations of physical systems
48. Deep-reasoning fault diagnosis an aid and a model
49. An overview of automated reasoning
50. Expert system and diagnostic expertise in the mechanical and electrical domains
51. In process machine degradation monitoring and fault detection using a neural networks approach
52. Analysis of machine degradation using a neural networks approach