Prediction of Remaining Useful Life (RUL) in Refinery using Deep Learning
The Remaining Useful Life (RUL) is typically used as the process of predicting the life span of machine before its failure. The purpose of this project is to develop a predictive analysis system of Remaining Useful Life (RUL) in refinery. It will significantly help the oil and gas industry to...
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| Format: | Final Year Project |
| Language: | en |
| Published: |
IRC
2019
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| Subjects: | |
| Online Access: | http://utpedia.utp.edu.my/id/eprint/20901/1/Hazirah_22882.pdf http://utpedia.utp.edu.my/id/eprint/20901/ |
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