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In process monitoring of batch process, Fisher discriminant analysis is a very popular method and has be widely applied. In this paper, a new kernel local Fisher discriminant analysis (KLFDA) algorithm is proposed for fault diagnosis. The main contributions of the presented approach are as follows: 1) the proposed algorithm can simultaneously extract the global European distribution of data and local...
In this paper, the fault reconstruction algorithm based on between-mode dependency analysis is presented to realize fault diagnosis. Firstly, the independent components which are extracted by kernel independent component analysis (KICA) are used to find the relationship between different modes. Secondly, according to the dependency analysis, each mutative mode is divided into four subspaces which...
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