| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10385180 | Chemical Engineering Research and Design | 2012 | 11 Pages |
Abstract
⺠A hybrid support vector machine and fuzzy reasoning based fault diagnosis and rescue system were developed for stable glutamate fermentation. ⺠The proposed system had a better fault-detection performance than that of neural networks based system. ⺠The proposed system could classify different biotin initial-content faults and rescue various failure-likelihood glutamate fermentations.
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Physical Sciences and Engineering
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Authors
Jian Ding, Yan Cao, Enock Mpofu, Zhongping Shi,