Average Incremental Correlation Analysis Model and Its Application in Fault Diagnosis

作     者：刘解放 刘思峰 吴利丰 方志耕 

作者机构：School of Mathematical ScienceHenan Institute of Science and Technology College of Economics and ManagementNanjing University of Aeronautics and Astronautics 

出 版 物：《Transactions of Nanjing University of Aeronautics and Astronautics》 (南京航空航天大学学报（英文版）)

年 卷 期：2015年第32卷第5期

页      面：541-548页

核心收录：

学科分类：0711[理学-系统科学] 07[理学] 0802[工学-机械工程] 0825[工学-航空宇航科学与技术] 0704[理学-天文学] 071101[理学-系统理论] 

基　　金：supported by Marie Curie International Incoming Fellowship within the 7th European Community Framework Programme (Grant No.FP7-PIIF-GA-2013629051) the National Natural Science Foundation of China (No.91324003) Social Science Foundation of the China(10zd&014,12AZD102) 

主　　题：average increment grey correlation analysis fault diagnosis equipment 

摘      要：The concept of average incremental correlation degree is put *** has been proved that the average incremental correlation model has such properties as parallelism,consistency,affine,affine transformation isotonicity and interference factors independence,and it will not lead to changes of the sequence order relation because of the data ***,the new model keeps good ***,the incremental average correlation model is applied to failure model analysis of equipment,and an ideal diagnostic effect is obtained.