Research on Fault Recognition for Centrifugal Compressor Based on Fuzzy Gray Relational Grade
In practical centrifugal compressor fault diagnosis, it is very difficult to improve the fault recognition rate, especially when the sample sizes are small. To solve this problem, a new fault recognition method based on fuzzy gray relational grade was proposed. Firstly, according to fuzzy set theory, the fuzzy relation coefficient (FRC), fuzzy relation degree (FRD) and fuzzy relative weights (FRW) of all fault features were calculated. Secondly, the gray system theory was used to obtain the gray relational coefficients (GRC). Thirdly, by combining FRW and GRC, two fuzzy gray relation grades (FGRG) were presented, which is the Hamming distance-based fuzzy gray relation grade (HD-FGRG) and the Euclidean distance-based fuzzy gray relation grade (ED-FGRG), respectively. Finally, the fault recognition results were obtained by using the max membership degree principle. The centrifugal compressor fault diagnosis results show that the ED-FGRG method is more effective and accurate than traditional gray relational analysis (T-GRA) method, the weighted gray relational analysis (W-GRA) method, and the entropy weight-based gray relational analysis (EW-GRA) method and the HD-FGRG method.
Fault Recognition Centrifugal Compressor Fuzzy Set Fuzzy Gray Relational Grade
Lanyun Li Zhuanzhao Yang Zhi He
Key Laboratory of Materials Processing Engineering, School of Materials Science and Engineering,Xia Tubular Goods Research Center of CNPC, Xian, Shaanxi, 710065 P.R.China
国际会议
2010 International Conference on Advanced Mechanical Engineering(2010年先进机械工程国际学术会议 AME 2010)
洛阳
英文
71-76
2010-09-04（万方平台首次上网日期，不代表论文的发表时间）