Predicting Tool Residual Useful Life based on Reccurent Neural Netwok
碩士 === 逢甲大學 === 資訊工程學系 === 107 === Worn cutting tools can seriously undermine machining quality, and exceeding the maximum allowable variation in accuracy can result in material waste. Operators require a means to predict tool wear, i.e., to avoid exceeding the remaining machinable life of the tool....
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/73499q |