Rotating Machinery Fault Diagnosis System Using sGA-based Neural Networks
碩士 === 國立臺北科技大學 === 自動化科技研究所 === 97 === This thesis proposes a robust fault diagnosis system of rotating machine adapting machine learning technology. The kernel of this diagnosis system includes a structure genetic algorithm neural network (sGANN). First, the frequency characteristics from differe...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/r8tu85 |