Application of heuristic and machine-learning approach to engine model calibration

Jie Cheng; Kwang R. Ryu; C. E. Newman; George C. Davis

doi:10.1117/12.141734

23 March 1993 Application of heuristic and machine-learning approach to engine model calibration

Jie Cheng, Kwang R. Ryu, C. E. Newman, George C. Davis

Proceedings Volume 1963, Applications of Artificial Intelligence 1993: Knowledge-Based Systems in Aerospace and Industry; (1993) https://doi.org/10.1117/12.141734
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

Automation of engine model calibration procedures is a very challenging task because (1) the calibration process searches for a goal state in a huge, continuous state space, (2) calibration is often a lengthy and frustrating task because of complicated mutual interference among the target parameters, and (3) the calibration problem is heuristic by nature, and often heuristic knowledge for constraining a search cannot be easily acquired from domain experts. A combined heuristic and machine learning approach has, therefore, been adopted to improve the efficiency of model calibration. We developed an intelligent calibration program called ICALIB. It has been used on a daily basis for engine model applications, and has reduced the time required for model calibrations from many hours to a few minutes on average. In this paper, we describe the heuristic control strategies employed in ICALIB such as a hill-climbing search based on a state distance estimation function, incremental problem solution refinement by using a dynamic tolerance window, and calibration target parameter ordering for guiding the search. In addition, we present the application of a machine learning program called GID3^* for automatic acquisition of heuristic rules for ordering target parameters.

Citation Download Citation

Jie Cheng, Kwang R. Ryu, C. E. Newman, and George C. Davis "Application of heuristic and machine-learning approach to engine model calibration", Proc. SPIE 1963, Applications of Artificial Intelligence 1993: Knowledge-Based Systems in Aerospace and Industry, (23 March 1993); https://doi.org/10.1117/12.141734

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