Hierarchical representation and machine learning from faulty jet engine behavioral examples to detect real time abnormal conditions

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Hierarchical representation and machine learning from faulty jet engine behavioral examples to detect real time abnormal conditions

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International conference on Industrial and engineering applications of artificial intelligence and expert systems archive
Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2 table of contents

Tullahoma, Tennessee, United States

Pages: 710 - 720

Year of Publication: 1988

ISBN:0-89791-271-3

Authors

U. K. Gupta	Univ. of Tennessee Space Institute, Tullahoma, TN
M. Ali	Univ. of. Tennesse Space Institute, Tullahoma, TN

Sponsor

SIGART: ACM Special Interest Group on Artificial Intelligence

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 1, Downloads (12 Months): 10, Citation Count: 4

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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	Paul C.Schutte, Kathy H. Abbott, NASA Langley Research Center, "An artificial intelligence approach to onboard fault monitoring and diagnosis for aircraft applications," presented at AIAA Guidance and Control Conference, Williamsburg, VA., August 18-20 '86.
	2	Raman Rajagopalan, "Qualitative Modeling in the Turbojet Engine Domain," M.S. Thesis, CSL Tech. Rept. T-139, Dept of Electrical Engineering, Univ. of Illinois, Urbana, IL, March 1984.
	3	Randall Davis, "Diagnosis via causal reasoning: Paths of interaction ad the locality principle," Artificial Intelligence Laboratory, MIT.
	4	David A. Handelman, Robert F. Stengel , "Combining Quantitative and Qualitative Reasoning in Aircraft Failure Diagnosis," AIAA proceedings, pp. 366-375, 1985.
	5	jeff Yung-Choa Pan, "Qualitative Reasoning with deep-level mechanism models for fault diagnosis of mechanism failures," IEEE proceedings, pp. 295-301, 1984.
	6	M. Ali, D. A. Scharnhost, "Sensor-based fault diagnosis in a flight expert system," IEEE Proceedings of the Second Conference on Artificial Intelligence Applications, Miami, FL., pp. 49- 54, Dec. 11-13, 1985.
	7	M. Ali, D. A. Scharnhost, Ai C.S., and H.J. Ferbet, "A flight expert system (FLES) for on-board fault monitoring and diagnosis, *' Proceedings of SPIE, Volume 635, Orlando, Florida, pp. 58-61, April 1-3, 1986.
	8	W.E. Dietz, M. Ali, "Qualitative and Temporal Reasoning in Engine Behavior Analysis and Fault Diagnosis,'* The Third Conference on Artificial Intelligence for Space Applications, Huntsville, AL, Nov. 2-3, 1987.
	9	S Ryszard Michalski , G Jaime Carbonell , M Tom Mitchell, Machine learning an artificial intelligence approach volume II, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1986
	10	W. E. Dietz , E. L. Kiech , M. Ali, Pattern-based fault diagnosis using neural networks, Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems, p.13-23, June 1988, Tullahoma, Tennessee, United States [doi>10.1145/51909.51911]

CITED BY 4

	W. E. Dietz , E. L. Kiech , M. Ali, Pattern-based fault diagnosis using neural networks, Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems, p.13-23, June 1988, Tullahoma, Tennessee, United States
	Suhayya Abu-Hakima , Philippe Davidson , Mike Halasz , Sieu Phan, Jet engine technical advisor (JETA), Proceedings of the 2nd international conference on Industrial and engineering applications of artificial intelligence and expert systems, p.154-160, June 1989, Tullahoma, Tennessee, United States
	C. Subramanian , M. Ali, Detecting abnormal situations from real time power plant data using machine learning, Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems, p.738-746, June 1988, Tullahoma, Tennessee, United States
	U. K. Gupta , M. Ali, LEADER-an integrated engine behavior and design analyses based real-time fault diagnostic expert system for space shuttle main engine (SSME), Proceedings of the 2nd international conference on Industrial and engineering applications of artificial intelligence and expert systems, p.135-145, June 1989, Tullahoma, Tennessee, United States