| Autor: |
Shun An Cao, Yan Huang, Jian Li Xie, Jia Yuan Hu |
| Rok vydání: |
2012 |
| Předmět: |
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| Zdroj: |
Advanced Materials Research. :6467-6472 |
| ISSN: |
1662-8985 |
| DOI: |
10.4028/www.scientific.net/amr.433-440.6467 |
| Popis: |
Carrying out the fault diagnosis of water-steam chemistry process in power plant has an important significance to ensuring high qualified rates of water and steam quality as well as maintaining safe operation of units. This paper proposed a fault diagnosis method based on improved credibility theory which is used to construct fuzzy diagnosis rules and data mining technique used to determine symptom weights and rule limens of reliability rules, and also improved the setting method of rule confidence. The adoption of data mining technique and new setting method of rule confidence can solve the problem that credibility reasoning results are influenced by person’s subjective factors, and make the reasoning process more scientific. Example results prove that this diagnosis model has a high accuracy, which indicates the significant practical value of the model. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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