ACM Home Page
Please provide us with feedback. Feedback
Utilizing multilevel models and reasoning for diagnosis of a complex electro-mechanical system
Full text PdfPdf (920 KB)
Source International conference on Industrial and engineering applications of artificial intelligence and expert systems archive
Proceedings of the 2nd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1 table of contents
Tullahoma, Tennessee, United States
Pages: 161 - 170  
Year of Publication: 1989
ISBN:0-89791-320-5
Authors
John A. Smith  Federal Express Corp., Memphis, TN
Gautam Biswas  Vanderbilt Univ., Nashinville, TN
Sponsor
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 1,   Downloads (12 Months): 7,   Citation Count: 1
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/66617.66638
What is a DOI?

ABSTRACT

A multi-level system which utilizes both an evidential and a qualitative model for diagnosing fault symptoms in complex electro-mechanical systems is presented. The operation of both models, enhancement by a historical database, and the global control strategy are all discussed. In addition, the constraining of qualitative reasoning with information from the evidential session and the enhancement of the evidential model with information from the qualitative model is demonstrated.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Ray Bareiss, "Proms: A Unified Approach to Concept Representation, Classification, and Learning", Technical Report CS-88-10, Department of Computer Science, Vanderbilt University, 1989.
2
 
3
Gautam Biswas, William J. Hagins, and Kenneth A. Debelek, "Qualitative Modeling in Engineering Applications", Department of Computer Science, Vanderbilt University, 1989.
 
4
 
5
Richard R. Cantone, Frank J. Pipitone, W. Brent Lander, and Michael P. Marrone, "Model-based Probabilistic Reasoning for Electronics Troubleshooting", in Proceedings of the Eighth International Joint Conference on Artificial Intelligence, pp. 207-211, 1983.
 
6
B. Chandrasekaran and Sanjay Mittal, "Deep versus compiled knowledge approaches to diagnostic problemsolving", International Journal of Man-Machine Studies, vol. 19, no. 5, pp. 425-436, 1983.
 
7
William J. Clancey, "The Epistemology of a Rule-Based Expert System-a Framework for Explanation", Artificial Intelligence, vol. 20, pp. 215-251 , 1983.
 
8
9
 
10
Randall Davis, "Reasoning from first principles in electronic troubleshooting", International Journal of Man-Machine Studies, vol. 19, no. 5, pp. 403-423, 1983.
 
11
 
12
 
13
 
14
Pamela K. Fink and John C. Lusth, "Expert Systems and Diagnostic Expertise in the Mechanical and Electrical Domains", IEEE Transactions on Systems, Man, and Cybernetics, vol. SMC-17, no. 3, pp. 340-349, 1987.
 
15
 
16
Kenneth D. Forbus, "Interpreting Observations of Physical Systems", IEEE Transactions on Systems, Man and Cybernetics, vol. 17, no. 3, pp. 350-359, 1987.
 
17
 
18
 
19
M.R. Herbert and G. H.Williams, "An initial evaluation of the detection and diagnosis of power plant faults using a deep knowledge representation of physical behavior", Expert Systems, vol. 4, no. 2, pp. 90-99, 1987.
 
20
 
21
Phyllis Koton, "Using a Case Memory to Integrate Case-Based and Causal Reasoning", in Proceedings of the Case-Based Reasoning Workshop-AAAI-88, Minneapolis-St. Paul, August, 1988.
 
22
 
23
 
24
Robert Milne, "Strategies for Diagnosis", IEEE Transactions on Systems, Man, and Cybernectics, vol. SMC-17, no. 3, pp. 333-339 , 1987.
 
25
Michael J. Pazzani, "Failure-Driven Learning of Fault Diagnosis Heuristics", }EEE Transactions on Systems, Man, and Cybernetics, vol. SMC-17, no. 3, pp. 380- 394, 1987.
 
26
 
27
Ethan A. Scarl, John R. Jamieson, and Carl i. Delaune, "Diagnosis and Sensor Validation through Knowledge of Structure and Function", IEEE Transactions on Systems, Man, and Cybernetics, vol. SMC-17, no. 3, pp. 360-368, 1987.
28
 
29
John Smith and Gautam Biswas, "Multi-level representation and reasoning in diagnosis of complex, electro-mechanical domains", Technical Report CS-89- 01, Department of Computer Science, Vanderbilt University, 1989.
 
30
John Smith and Gautam Biswas, "Multilevel Models for Diagnosis of Complex Electro-Mechanical Systems", to appear, Proceedings of Applications of Artificial intelligence VII, Orlando, FL, March 1989.


Collaborative Colleagues:
John A. Smith: colleagues
Gautam Biswas: colleagues