Application of Bayesian Networks to Diagnosis and Prognosis of Manufacturing Process
碩士 === 國立交通大學 === 電機與控制工程系所 === 92 === There are hundreds of steps in the process of manufacturing operation. Every step contains lots of measurements. As a result a tremendous amount of data is available. These data maybe contain reasons that case abnormal states of manufacturing process. We use Ju...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2004
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| Online Access: | http://ndltd.ncl.edu.tw/handle/r4zm22 |