Diagnosis of feedwater heater performance degradation using fuzzy inference system
作者：
Highlights：
• We show how fuzzy inference systems can be used in plant diagnosis when it is necessary.
• FIS are able to integrate expertise and rule learning from data into a single framework.
• FIS has expandability to diagnosis widely. This means that Fuzzy inference system can be applied to all power plant models in the same way.
• Consequently, more measurement inputs, accurate knowledge and elaborate composition of Fuzzy sets can allow for more accurate diagnosis of performance degradation.
摘要
•We show how fuzzy inference systems can be used in plant diagnosis when it is necessary.•FIS are able to integrate expertise and rule learning from data into a single framework.•FIS has expandability to diagnosis widely. This means that Fuzzy inference system can be applied to all power plant models in the same way.•Consequently, more measurement inputs, accurate knowledge and elaborate composition of Fuzzy sets can allow for more accurate diagnosis of performance degradation.
论文关键词：Diagnosis,Fuzzy inference system,Feedwater heater,Degradation
论文评审过程：Received 2 April 2015, Revised 23 October 2016, Accepted 23 October 2016, Available online 24 October 2016, Version of Record 28 October 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.10.052
