Research on fault diagnosis of hydraulic system based on similarity measure between IVIFSs
A novel fault diagnosis method of hydraulic system based on similarity measure under interval-valued intuitionistic fuzzy circumstances is investigated in this paper. The concept of interval-valued intuitionistic fuzzy sets (IVIFSs) is introduced, and the distance between two IVIFSs is defined taking into account the intuitionistic fuzzy interval. Then, the similarity degree between the detecting sample and the knowledge of hydraulic system fault is evaluated 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 hydraulic system fault is determined according to the similarity degree. The example of hydraulic system fault diagnosis demonstrates the validity and reasonability of the proposed method.
Fault diagnosis Similarity measures Hydraulic system Interval-valued intuitionistic fussy sets
Weibo Li Hongwei Shen
Department of Mechatronics Engineering, Shaoxing College of Arts and Sciences, shaoxing, China Department of Steering, Shaoxing College of Arts and Sciences, shaoxing, China
国际会议
杭州
英文
943-946
2009-04-08（万方平台首次上网日期，不代表论文的发表时间）