Prediction of Helicoper Engine Deterioration: A Data Mining Approach
碩士 === 國立中山大學 === 資訊管理學系研究所 === 94 === Use of a gas turbine engine as the primary power source has been popular in light and heavy industries, aerospace engineering, marine engineering, etc. Gas turbine engine is also used in our modern national defense weapons in Taiwan. For instance, most of Air F...
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ndltd-TW-094NSYS53960872016-05-27T04:18:17Z http://ndltd.ncl.edu.tw/handle/65964098255822074949 Prediction of Helicoper Engine Deterioration: A Data Mining Approach 運用資料探勘技術於直升機發動機性能衰降預測 Wen-Hsiung Chu 朱文雄 碩士 國立中山大學 資訊管理學系研究所 94 Use of a gas turbine engine as the primary power source has been popular in light and heavy industries, aerospace engineering, marine engineering, etc. Gas turbine engine is also used in our modern national defense weapons in Taiwan. For instance, most of Air Force fighters use gas turbine engines as the source of power. Gas turbine engines are usually associated with various sensors for real-time condition surveillance and require periodical maintenance for providing proper functioning and safety guarantee. In contrast, real-time failure prediction of gas turbine engine components could be achieved by applying data mining or statistics techniques. However, such failure prediction will not be effective when applying to engines which are deteriorated by long-term running in high temperature and high stress environment. In this study, we collected maintenance and operating logs according to the engine deterioration history and established and empirically evaluated four different data-mining-based prediction models. The proposed data-mining-based prediction approach attempts to predict the time-to-deterioration for a gas turbine engine after its prior deterioration occurrence, to provide maintenance personnel accurate prediction for better making or revising maintenance schedules, and to achieve the “foreseeing maintenance and management policy.” Chih-Ping Wei Tsang-Hsiang Cheng 魏志平 鄭滄祥 2006 學位論文 ; thesis 60 zh-TW |
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碩士 === 國立中山大學 === 資訊管理學系研究所 === 94 === Use of a gas turbine engine as the primary power source has been popular in light and heavy industries, aerospace engineering, marine engineering, etc. Gas turbine engine is also used in our modern national defense weapons in Taiwan. For instance, most of Air Force fighters use gas turbine engines as the source of power. Gas turbine engines are usually associated with various sensors for real-time condition surveillance and require periodical maintenance for providing proper functioning and safety guarantee. In contrast, real-time failure prediction of gas turbine engine components could be achieved by applying data mining or statistics techniques. However, such failure prediction will not be effective when applying to engines which are deteriorated by long-term running in high temperature and high stress environment. In this study, we collected maintenance and operating logs according to the engine deterioration history and established and empirically evaluated four different data-mining-based prediction models. The proposed data-mining-based prediction approach attempts to predict the time-to-deterioration for a gas turbine engine after its prior deterioration occurrence, to provide maintenance personnel accurate prediction for better making or revising maintenance schedules, and to achieve the “foreseeing maintenance and management policy.”
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author2 |
Chih-Ping Wei |
author_facet |
Chih-Ping Wei Wen-Hsiung Chu 朱文雄 |
author |
Wen-Hsiung Chu 朱文雄 |
spellingShingle |
Wen-Hsiung Chu 朱文雄 Prediction of Helicoper Engine Deterioration: A Data Mining Approach |
author_sort |
Wen-Hsiung Chu |
title |
Prediction of Helicoper Engine Deterioration: A Data Mining Approach |
title_short |
Prediction of Helicoper Engine Deterioration: A Data Mining Approach |
title_full |
Prediction of Helicoper Engine Deterioration: A Data Mining Approach |
title_fullStr |
Prediction of Helicoper Engine Deterioration: A Data Mining Approach |
title_full_unstemmed |
Prediction of Helicoper Engine Deterioration: A Data Mining Approach |
title_sort |
prediction of helicoper engine deterioration: a data mining approach |
publishDate |
2006 |
url |
http://ndltd.ncl.edu.tw/handle/65964098255822074949 |
work_keys_str_mv |
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