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| 題 名 | Fuzzy Logic Diagnostic for Turbine Engine Health Condition=模糊邏輯法分析渦輪引擎狀況 |
|---|---|
| 作 者 | 蘇盛竹; 吳開明; | 書刊名 | 中華科技大學學報 |
| 卷 期 | 44 2010.07[民99.07] |
| 頁 次 | 頁103-116 |
| 分類號 | 447.6 |
| 關鍵詞 | 飛航紀錄器; 模糊邏輯; 飛機引擎健康監控; Flight data recorder; Fuzzy logic modeling; Aircraft engine health monitoring; |
| 語 文 | 英文(English) |
| 中文摘要 | 本文主要研究利用飛機飛航記錄資料經模糊邏輯分析探討渦輪引擎健康情形,渦輪引擎健康情形的監控與診斷是利用機上飛航紀錄器資料經模糊邏輯監控引擎動作與數值分析,來監控診斷飛機引擎健康情形,此方法可提供詳細飛航事件分析及診斷引擎潛在問題。本模型主要參考引擎排氣溫度(EGT)與引擎轉速(N1, N2),以監控與判斷引擎的健康情形。 |
| 英文摘要 | This paper investigates the turbine engine health condition by using fuzzy logic modeling technology in Flight Data Recorder (FDR) data of the aircraft. The turbine engine health monitoring and diagnosis is to use the information of onboard flight data recorders to monitoring the engines motion with fuzzy logic and computational numeric analysis to do the health diagnosis and monitoring of the aircraft’s engines. Analysis techniques for aircraft engine health monitoring and diagnosis were included exceed analysis, statistical analysis and validated trend information. The diagnostic algorithm is designed to track engine health degradation by using those data analyses. It has the capability to provide the causes of flight events in details and to detect the potential problems of engine health through the monitoring management. This model-based effectiveness to detect well for the five sets of aircraft flight data, involving a four-engine passenger jet transport. Because of those four engine models are generated to predict the performance by the exhaust gas temperature excursions along the flight trajectory. Excursion is assumed to have occurred if the indicated exhaust gas temperature exceeds the model prediction. |
本系統中英文摘要資訊取自各篇刊載內容。