Nonlinear process monitoring using kernel principal component analysis

2003/12/10 by Jong‐Min Lee, Jong-Min Lee, ChangKyoo Yoo +4 · 1,076 citations
Chemistry · Engineering · Mathematics · #Artificial intelligence #Benchmark (surveying) #Computer science #Fault Detection and Control Systems #Feature (linguistics) #Feature vector #Geography #Kernel (algebra) #Kernel method #Kernel principal component analysis #Mathematics #Mineral Processing and Grinding #Nonlinear system #Pattern recognition (psychology) #Principal component analysis #Principal component regression #Process (computing) #Spectroscopy and Chemometric Analyses #Support vector machine

paper · doi:10.1016/j.ces.2003.09.012

published in Chemical Engineering Science 59(1), 223-234 (Elsevier BV)

openalex publication_date 2003/12/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04

Citations

• Identification of faulty sensors using principal component analysis

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