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Engine Health Assessment and Prediction Using the Group Method of Data Handling and the Method of Match Matrix: Autoregressive Moving Average

[+] Author Affiliations
Haixia Wang, Jay Lee, Masoud Ghaffari

University of Cincinnati, Cincinnati, OH

Takahiro Ueda

Komatsu, Ltd., Hiratsuka, Kanagawa, Japan

Kondo H. Adjallah

Universitè de Technologie de Troyes, Troyes, France

Paper No. GT2007-27672, pp. 697-702; 6 pages
doi:10.1115/GT2007-27672
From:
  • ASME Turbo Expo 2007: Power for Land, Sea, and Air
  • Volume 1: Turbo Expo 2007
  • Montreal, Canada, May 14–17, 2007
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 0-7918-4790-X | eISBN: 0-7918-3796-3
  • Copyright © 2007 by ASME

abstract

This paper presents a methodology for engine health assessment and prediction, which includes the following two steps: (1) engine health assessment and anomaly detection is conducted based on an inductive learning technique called Group Method of Data Handling (GMDH), and (2) engine health prediction is conducted based on the method of Match Matrix - Autoregressive Moving Average. Results from an industry case study illustrate the effectiveness of the presented methodology in engine health assessment and prediction.

Copyright © 2007 by ASME
Topics: Engines

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