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http://dx.doi.org/10.5139/JKSAS.2022.50.10.717

A Realization of Real Time Algorithm for Fault and Health Diagnosis of Turbofan Engine Components  

Han, Dong-Ju (Dept. of Aviation Maintenance Engineering, Kukdong University)
Kim, Sang-Jo (Agency for Defense Development)
Lee, Soo-Chang (Agency for Defense Development)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.50, no.10, 2022 , pp. 717-727 More about this Journal
Abstract
An algorithm is realized for estimating the component fault and health diagnosis such as a deterioration. Based on the turbofan engine health diagnosis model, from the health parameters which are estimated by a real time tracking filter, the outliers are eliminated efficiently by an effective median filter to minimize an false alarm. The difference between the fault and deterioration trends is identified by the detection measure for abrupt change, thereby the clear diagnosis classifying the fault and the health condition is possible. The effectiveness of the algorithm for fault and health diagnosis is verified from the simulated results of engine component faults and deterioration.
Keywords
Cascade Recursive Median Filter; Health Estimation; Outlier; Tracking Filter; Turbofan Engine;
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