Predicting Remaining Useful Life of Equipment based on Deep Learning-based Model
碩士 === 元智大學 === 資訊管理學系 === 106 === With the development of smart manufacturing, in order to instantly detect abnormal conditions of the equipment, a large number of sensors were built to record the variables associated with the collection of production equipment. This research focuses on the remaini...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/2bd366 |