Ensemble learning for remaining useful life prediction of equipment components
碩士 === 國立交通大學 === 統計學研究所 === 105 === The machine equipment that is used to produce several products is important facility in factory. Therefore, how to predict the remaining useful life (RUL) of equipment components to avoid damage to the machine is an important issue. The censoring data from the ma...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/b5fxd5 |