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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| Format: | Thesis |
| Language: | English |
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2018
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| Online Access: | http://hdl.handle.net/10356/75527 |