FAILURE PREDICTION OF ENGINEERING PROBLEMS USING INTERACTIVE COMPUTING NOTEBOOK ENVIRONMENT
In recent years, research has proposed several machine learning (ML) approaches to predict remaining useful life (RUL) in engineering field which involved computer science skills. This paper proposed to predict turbofan engine remaining useful life (RUL) based on the engine historical degradation da...
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フォーマット: | Final Year Project Report |
言語: | English English |
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Universiti Malaysia Sarawak, (UNIMAS)
2020
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オンライン・アクセス: | http://ir.unimas.my/id/eprint/34055/1/Florina%20Ling%20Anak%20Castelo%20-%2024%20pgs.pdf http://ir.unimas.my/id/eprint/34055/4/Florina%20Ling%20Castelo%20ft.pdf http://ir.unimas.my/id/eprint/34055/ |
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