A neural-net and fuzzy-inference based method for fault detection and diagnosis in modern process systems
The thesis proposes a quite novel and easily generalized fault detection and diagnosis (FDD) scheme for typical modern process systems, by integrating two powerful machine learning techniques: multilayer neural network and fuzzy inference system. With adequate sensors installed to and monitoring sof...
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| 格式: | Theses and Dissertations |
| 語言: | English |
| 出版: |
2018
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| 主題: | |
| 在線閱讀: | http://hdl.handle.net/10356/75527 |
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| 機構: | Nanyang Technological University |
| 語言: | English |