Research on Fault Diagnosis of Turbine Based on Similarity Measures between Interval-valued Intuitionistic Fuzzy Sets

摘要：

This paper presents a novel fault diagnosis method of turbine based on interval-valued intuitionistic fussy sets (IVIFSs) theory. In this paper, the concept of IVIFS is introduced, and the distance between two IVIFSs is defined Then, the similarity degree between the detecting sample and the knowledge of system fault is evaluated in the fault diagnosis of turbine vibration by means of the similarity measures among IVIFSs. The larger the value of similarity measure, the more the similarity between the detecting sample and a type of fault knowledge. The value of similarity measure is ranked and the most possible type of vibration fault is determined according to the similarity degree. The example of steam turbine generator sets fault diagnosis demonstrates the validity and reasonability of the proposed method.

作者: Weibo Lee HongWei Shen Guoyun Zhang

作者单位: Department of Mechatronics Engineering,Shaoxing College of Arts and Sciences,508 Huancheng West Road Department of Steering,Shaoxing College of Arts and Sciences,508 Huancheng West Road,Shaoxing,Zhejia Economic and trade bureau of shaoxing county,29 Shengli West Road,Shaoxing,Zhejiang Province 312000,

会议类型: 国际会议

会议名称: 2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机械自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 700-703

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）