国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

Abstract：In order to get rid of the disadvantages that verdict information is neglected of traditional fault feature extraction method, Complete Kernel Fisher Discriminant (CKFD) feature extraction algorithm based on Chaos Cuckoo Search (CCS) and its application on fault diagnosis is presented. Apply the algorithm in the feature extraction of fault data of Fluid Catalytic Cracking Unit (FCCU). First the data are mapped to a high-dimensional space，and CKFD based on FPP model is used to divide transform domain into two spaces, then regular and irregular discriminate vectors are extracted from the two subspaces respectively by fisher criterion function, last the CCS algorithm is used to optimize the fusion coefficient of two vectors to obtain the optimal discriminant vector. Finally, the data are classified by the nearest-neighbor classifier based on Euclidean Distance to validate the validity of the arithmetic. It can be seen from the simulation that the presented algorithm can raise the accuracy of fault classification and it can also improve stability of multi-fault classification.