JOURNAL ARTICLE
Fault detection and estimation using kernel principal component analysis
Maya KallasGilles MourotKwami AnaniJosé RagotDidier Maquin
Year: 2017 Journal: IFAC-PapersOnLine Vol: 50 (1)Pages: 1025-1030 Publisher: Elsevier BV
Keywords:
Kernel principal component analysis Principal component analysis Initialization Subspace topology Kernel (algebra) Pattern recognition (psychology) Computer science Fault detection and isolation Artificial intelligence Kernel method Feature vector Sparse PCA Fault (geology) Principal component regression Data mining Mathematics Support vector machine
Metrics
16
Cited By
1.60
FWCI (Field Weighted Citation Impact)
11
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Fault Detection and Control Systems
Physical Sciences → Engineering → Control and Systems Engineering
Mineral Processing and Grinding
Physical Sciences → Engineering → Mechanical Engineering
Spectroscopy Techniques in Biomedical and Chemical Research
Life Sciences → Biochemistry, Genetics and Molecular Biology → Biophysics
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