Nonlinear process fault detection and identification using kernel PCA and kernel density estimation
نویسندگان
چکیده
منابع مشابه
PCA-Kernel Estimation
Many statistical estimation techniques for high-dimensional or functional data are based on a preliminary dimension reduction step, which consists in projecting the sample X1, . . . ,Xn onto the first D eigenvectors of the Principal Component Analysis (PCA) associated with the empirical projector Π̂D. Classical nonparametric inference methods such as kernel density estimation or kernel regressio...
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ژورنال
عنوان ژورنال: Systems Science & Control Engineering
سال: 2016
ISSN: 2164-2583
DOI: 10.1080/21642583.2016.1198940