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Multivariate feature extraction based supervised machine learning for fault detection and diagnosis in photovoltaic systems., , , , , , и . Eur. J. Control, (2021)Machine Learning based Multiscale Reduced Kernel PCA for Nonlinear Process Monitoring., , , , , и . SSD, стр. 302-307. IEEE, (2020)Machine Learning based Reduced Kernel PCA for Nonlinear Process Monitoring., , , , и . IINTEC, стр. 180-185. IEEE, (2019)Fault detection in photovoltaic systems using machine learning technique., , , , , , и . SSD, стр. 207-212. IEEE, (2020)Fault detection and diagnosis in grid-connected photovoltaic systems., , , , , , и . SSD, стр. 201-206. IEEE, (2020)Fault detection of uncertain nonlinear process using interval-valued data-driven approach., , , , , и . SSD, стр. 585-590. IEEE, (2020)Efficient fault detection and diagnosis of wind energy converter systems., , , , , , и . SSD, стр. 213-218. IEEE, (2020)Machine learning approaches for fault detection and diagnosis of induction motors., , , , , , и . SSD, стр. 692-698. IEEE, (2020)Faults Classification in Grid-Connected Photovoltaic Systems., , , , , и . SSD, стр. 1431-1437. IEEE, (2021)Interval Valued PCA-Based Approach For Fault Detection In Complex Systems., , , , , и . SSD, стр. 184-189. IEEE, (2022)