The Prediction System for Tool's Remaining Useful Life Based on The Image Processing Techniques
碩士 === 國立中正大學 === 機械工程學系暨研究所 === 102 === In the process of automated production, to monitor tool wear and to predict the remaining useful life are very important. Tool worn occurs during production operation, which may result in several negative implications such as increase in downtime, low product...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2014
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Online Access: | http://ndltd.ncl.edu.tw/handle/hx8z4c |