A Robust and Sparse Process Fault Detection Method Based on RSPCA

As a method widely used in fault detection, principal component analysis (PCA) still has challenges in applicability due to its sensitivity to outliers and its difficulty in principal components (PCs) interpretation. In this paper, a robust sparse PCA (RSPCA) model is proposed to improve the robustn...

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Bibliographic Details
Main Authors: Peng Peng, Yi Zhang, Feng Liu, Hongwei Wang, Heming Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8760237/