Engine Health Assessment and Prediction Using the Group Method of Data Handling and the Method of Match Matrix: Autoregressive Moving Average
Haixia Wang, Jay Lee, Takahiro Ueda, Kondo H. Adjallah, Masoud Ghaffari · 2007
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.