Prototype of an intelligent failure analysis system

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2080, Issue , 2001, Pages 716-730

  Mount, Claude ^a   Liao, T Warren ^b  

^a Claude Ray Mount   (United States)

^b LOUISIANA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CASE BASED REASONING; EXPERT SYSTEMS; FAILURE ANALYSIS;

CASE BASED; COMPLEX TASK; FAILURE ANALYSIS SYSTEMS; FAILURE INVESTIGATION; KNOWLEDGE BASE; NEW CASE; RELATIONAL DATA;

FAILURE (MECHANICAL);

EID: 84956675169     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44593-5_51     Document Type: Conference Paper

References (61)

1. Adlassnig, K., Fuzzy Set Theory in Medical Diagnosis, IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC-16, 1986.
2. Agre, G., KBS Maintenance as Learning Two-Tiered Domain Representation, Proceedings of the International Conference on Case-Based Reasoning Research and Development, October 1995.
3. Ahmad, K., Fulford, H., Griffin, S., and Holmes-Higgin, P., Text-Based Knowledge Acquisition -A Language for Special Purposes Perspective, Research and Development in Expert Systems VIII, Cambridge University Press, 1991.
4. Allemang, D., Combining Case-Based Reasoning and Task-Specific Architectures, IEEE Expert, October 1994.
5. Andert, E.P., Integrated Knowledge-Based System Design and Validation for Solving Problems in Uncertain Environments, International Journal of Man -Machine Studies, 36,1992.
6. Backer, E., Gerbrands, J.J., Reiber, J.H.C., Reijs, A.E.M., Krijgsman, H.J., and Van Den Herik, H.J., Modeling Uncertainty in ESATS by Classification Inference, Pattern Recognition Letters, #8, Elsevier Science Publishers, 1988.
7. Barletta, R., An Introduction to Case-Based Reasoning, AIExpert, August 1991.
8. Becraft, W.R., and Lee, P.L., An Integrated Neural Network/Expert System Approach for Fault Diagnosis, Computers in Chemical Engineering, Volume 17, 1993.
9. Bench-Capon, T., Coenen, F., Nwana, H., Paton, R., and Shave, M., Two Aspects of the Validation and Verification of Knowledge-Based Systems, IEEE Expert, June 1993.
10. Binaghi, E., A Fuzzy Logic Inference Model for a Rule-Based System in Medical Diagnosis, Expert Systems, Volume 7, 1990.
11. Bort, J., Data Mining’s Midas Touch, InfoWorld, April 1996.
12. Brostow, W. and Corneliussen, R.D., Failure of Plastics, Hanser Publishers, 1986.
13. Churbuck, D.C., Learning by Example, Forbes Magazine, June 8, 1992.
14. Cooper, A., About Face: The Essentials of User Interface Design, IDG Books, 1995.
15. Dash, M., and Liu, H., Feature Selection For Classification, Intelligent Data Analysis, Elsevier Science, 1997.
16. Doherty, N.F., Kochhar, A.K., and Main, R., Knowledge-Based Approaches to Fault Diagnosis: A Practical Evaluation of the Relative Merits of Deep and Shallow Knowledge, Proceedings of the Institution of Mechanical Engineers, Volume 208, 1994.
17. Fink, P.K., Lusth, J.C. and Duran, J.W., A General Expert System Design for Diagnostic Problem Solving, IEEE Transactions on Pattern Analysis and Machine Intelligence, September 1985.
18. Fourali, C., Fuzzy Logic and the Quality of Assessment of Portfolios, Fuzzy Sets and Systems 68, Elsevier, 1994.
19. French, D.N., Metallurgical Failures in Fossil Fired Boilers, John Wiley & Sons, 1983.
20. Golding, A.R., and Rosenbloom, P.S., Improving Accuracy By Combining Rule-Based and Case-Based Reasoning, Artificial Intelligence 87, Elsevier, 1996.
21. Gonzalez, A.J., Xu, L., and Gupta, U.M., Validation Techniques for Case-Based Reasoning Systems, IEEE Transactions on Systems, Man, and Cybernetics -Part A: Systems and Humans, Volume 28, № 4, July, 1998.
22. Graham-Jones, J., and Mellor, B.G., Expert and Knowledge-Based Systems in Failure Analysis, Engineering Failure Analysis, Volume 2, Elsevier, 1995.
23. Graham-Jones, J., and Mellor, B.G., The Development of a Generic Failure Analysis Expert System Based on Case-Based Reasoning, Proceedings of Corrosion 96 Symposium, Denver, CO, 1996.
24. Guida, G., and Mauri, G., Evaluating Performance and Quality of Knowledge Based Systems: Foundation and Methodology, IEEE Transactions on Knowledge and Data Engineering, April 1993.
25. Hart, A.E., The Role of Induction in Knowledge Elicitation, Expert Systems, January 1985.
26. Hinkle, D., and Toomey, C., Applying Case-Based Reasoning to Manufacturing, AI Magazine, Spring 1995.
27. Isaacson, D.R., Davis, T.J., and Robinson, J.E. III, Knowledge-Based Runway Assignment for Arrival Aircraft in the Terminal Area, AIAA Guidance, Navigation, and Control Conference, August 1997.
28. Jackson, A.H., Machine Learning, Expert Systems, Volume 5, 1988.
29. Johannsen, G. and Alty, J.L., Knowledge Engineering for Industrial Expert Systems, Automatica, Volume 27, 1991.
30. Klinger, D.W., A Decision Centered Design Approach to Case-Based Reasoning: Helping Engineers Prepare Bids and Solve Problems, Advances in Agile Manufacturing, IOS Press, 1994.
31. Lee, S., and O’Keefe, R.M., Developing a Strategy for Expert System Verification and Validation, IEEE Transactions on Systems, Man, and Cybernetics, April 1994.
32. Lee-Post, A., Knowledge Acquisition Automation: Research Issues and Directions, Journal of Computer Information Systems, Fall 1994.
33. Liao, T.W., Zhan, Z.H., Mount, C.R., An Integrated Database and Expert System for Failure Mechanism Identification: Part I -Automated Knowledge Acquisition, Engineering Failure Analysis, vol. 6, no. 6, 1999, 387-406.
34. Liao, T.W., Zhan, Z.H., Mount, C.R., An Integrated Database and Expert System for Failure Mechanism Identification: Part II -The System and Performance Testing, Engineering Failure Analysis, vol. 6, no. 6, 1999, 407-421.
35. Liao, T.W., Zhang, Z.M., and Mount, C.R., A Case-Based Reasoning Approach to Identifying Failure Mechanisms, Engineering Applications of Artificial Intelligence, vol. 13,no. 2, 2000, 199-213.
36. Liao, T.W., Zhang, Z.M., and Mount, C.R., Similarity Measures for Retrieval in Case-Based Reasoning Systems, Applied Artificial Intelligence, vol. 24, no. 4, 1998, 267-288.
37. Low, B.T., Lui, H.C., Tan, A.H., and Teh, H.H., Connectionist Expert System with Adaptive Learning Capability, IEEE Transactions on Knowledge and Data Engineering, June 1991.
38. Morales, E. and Garcia, H., A Modular Approach to Multiple Faults Diagnosis, Artificial Intelligence in Process Engineering, Academic Press, 1990.
39. Mount, C.R., An Intelligent Failure Analysis System, Ph.D. Dissertation, Louisiana State University, Baton Rouge, LA, 2000
40. Mount, C.R., Liao, T.W., and Chen, Y.S., Integrated Knowledge Engine for Failure Analysis, Smart Engineering Systems: Neural Networks, Fuzzy Logic, Data Mining, and Evolutionary Programming, ASME Press, 1997.
41. O’Keefe, R.M., Balci, O., and Smith, E.P., Validating Expert System Performance, IEEE Expert, Winter 1987.
42. O’Keefe, R.M., and O’Leary, D.E., Expert System Verification and Validation: A Survey and Tutorial, Artificial Intelligence Review, 7, 1993.
43. Olson, J.R., and Rueter, H.H., Extracting Expertise from Experts: Methods for Knowledge Acquisition, Expert Systems, August 1987.
44. Padalkar, S., Karsai, G., Biegl, C., Sztipanovits, J., Okuda, K., and Miyasaka, N., RealTime Fault Diagnostics, IEEE Expert, June 1991.
45. Parsaye, K., and M. Chignell, Knowledge Acquisition and Validation, Expert Systems for Experts, John Wiley & Sons, 1988.
46. Perez, R.A., and Koh, S.W., Integrating Expert Systems with a Relational Database in Semiconductor Manufacturing, IEEE Transactions on Semiconductor Manufacturing, August 1993.
47. Polat, F., and Guvenir, H.A., UVT: A Unification-Based Tool for Knowledge Base Verification, IEEE Expert, June 1993.
48. Powell, G.W. and Mahmoud, S.E., Metals Handbook: Failure Analysis and Prevention, 9th Edition, V11, American Society for Metals, 1986.
49. Quinlan, J.R., Induction of Decision Trees, Machine Learning, Kluwar Academic Publishers, 1986.
50. Reategui, E.B., Campbell, J.A., and Leao, B.F., A Case-Based Model that Integrates Specific and General Knowledge in Reasoning, Applied Intelligence, July 1997.
51. Scott, R., Artificial Intelligence: Its Use in Medical Diagnosis, Journal of Nuclear Medicine, March 1993.
52. Stottler, R.H., CBR for Cost and Sales Prediction, AIExpert, August 1994.
53. Tan, A.H., Pan, Q., and Lui, H.C., The, H.H., Connectionist Expert System in Fault Diagnosis of Avionics Line Replaceable Units, New Challenges in Aircraft Maintenance Conference, Singapore, February 1990.
54. Tansley, D.S.W., and Hayball, C.C., Knowledge-Based Systems: Analysis and Design, Prentice-Hall, 1993.
55. Tzafestas, S., Palios, L. and Cholin, F., Diagnostic Expert System Inference Engine Based On the Certainty Factors Model, Knowledge-Based Systems, Volume 7, 1994.
56. Vargas, J.E., and Raj, S., Developing Maintainable Expert Systems Using Case-Base Reasoning, Expert Systems, November 1993.
57. Walton, H.W., Failure Diagnostics -Application of Expert Systems, Conference Proceedings of the International Conference and Exhibits on Failure Analysis, July 1991.
58. Watson, I., and Marir, F., Case-Based Reasoning: A Review, The Knowledge Engineering Review, Volume 9:4, 1994.
59. Witten, I.H., and MacDonald, B.A., Using Concept Learning for Knowledge Acquisition, International Journal of Man-Machine Studies, Volume 29, 1988.
60. Zahedi, F., Intelligent Systems for Business, Wadsworth, 1993.
61. Zhang, Z., Applying Case-Based Reasoning and Genetic Algorithms to Failure Analysis, A Thesis Submitted to the Louisiana State University Department of Industrial and Manufacturing Systems Engineering, Baton Rouge, LA, 1998.