Modified kernel principal component analysis based on local structure analysis and its application to nonlinear process fault diagnosis
Traditional kernel principal component analysis (KPCA) concentrates on the global structure analysis of data sets but omits the local information which is also important for process monitoring and fault diagnosis. In this paper, a modified KPCA, referred to as the local KPCA (LKPCA), is proposed bas...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2013-08-15.
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| Subjects: | |
| Online Access: | Get fulltext |