Diagnosis of feedwater heater performance degradation using fuzzy inference system
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- 作者：Yeon Kwan Kanga ; ok20328@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Hyeonmin Kima ; hyeonmin10@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Gyunyoung Heoa ; gheo@khu.ac.kr" class="auth_mail" title="E-mail the corresponding author ; Seok Yoon Songb ; seokynsong@khnp.co.kr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Diagnosis ; Fuzzy inference system ; Feedwater heater ; Degradation
- 刊名：Expert Systems with Applications
- 出版年：2017
- 出版时间：1 March 2017
- 年：2017
- 卷：69
- 期：Complete
- 页码：239-246
- 全文大小：935 K
文摘
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We show how fuzzy inference systems can be used in plant diagnosis when it is necessary.
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FIS are able to integrate expertise and rule learning from data into a single framework.
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FIS has expandability to diagnosis widely. This means that Fuzzy inference system can be applied to all power plant models in the same way.
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Consequently, more measurement inputs, accurate knowledge and elaborate composition of Fuzzy sets can allow for more accurate diagnosis of performance degradation.