The application of expert systems and neural networks to gas turbine prognostics and diagnostics

Journal of Engineering for Gas Turbines and Power

Volumn 121, Issue 4, 1999, Pages 607-612

  De Pold, H R ^a   Gass, F D ^b  

^a PRATT AND WHITNEY   (United States)

^b PRATT AND WHITNEY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0000235347     PISSN: 07424795     EISSN: 15288919     Source Type: Journal    
DOI: 10.1115/1.2818515     Document Type: Article

References (7)

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2. Volponi, A., 1994, ., Sensor Error Compensation In Engine Performance Diagnostics,” ASME Paper 94-GT-58.
3. Jaw, L., 1997, ., Neural Network Modeling of Engine Tip Clearance,” presented at the 33rd AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit, Session 24-ASME-7 Smart Engine Technology.
4. Urban, L., and Volponi, A., 1992, ., Mathematical Methods of Relative Engine Performance Diagnostics,” SAE Technical Paper 922048.
5. Miller, B., 1997, ., AMOSS May Stem Rising Maintenance Costs,” Overhaul & Maintenance, September-October, Vol. 3, No. 5, McGraw-Hill Companies, New York, pp. 51-56.
6. Rumbaugh, J., 1991, ., Object-Oriented Modeling and Design,” Prentice-Hall Inc., Englewood Cliffs, NJ.
7. Fikes, R., and Keller, T., 1985, ., The Role of Frame-Based Representation in Reasoning,” Communications of the ACM, Vol. 28, No. 9, Sept.