Research on fault detection and principal component analysis for spacecraft feature extraction based on kernel methods

HIGHLIGHTS

• who: Na Fu et al. from the (UNIVERSITY) have published the research: Research on fault detection and principal component analysis for spacecraft feature extraction based on kernel methods, in the Journal: (JOURNAL)
• what: In this article, Kernel Principal Component Analysis (KPCA) was introduced for feature extraction and fault detection of high-dimensional data.

SUMMARY

Adequate to monitor and detect the satellite operating process (Li 2010, Hu and Jiang 2021, Li et_al 2019, Flores-Abad et_al 2014). In this article, Kernel Principal Component Analysis (KPCA) was introduced for feature extraction and fault . . .

 



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