Dynamic Interval-Valued PCA for Enhanced Fault Detection

• Published in: International Conference on Control, Decision and Information Technologies (Online) pp. 2911 - 2916
• Main Authors: Rouani, Lahcene, Harkat, Mohamed Faouzi, Kouadri, Abdelmalek, Bensmail, Abderazak, Mansouri, Majdi, Nounou, Mohamed
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2024
• Subjects: Accuracy; Aerodynamics; Cement industry; dynamic process; Fault detection; Indexes; interval-valued data; Principal component analysis; principal component analysis (PCA); Process monitoring; Real-time systems; Robustness; Uncertainty

This study introduces three novel dynamic interval-valued principal component analysis (DIPCA) methods: dynamic centers PCA (D-CPCA), dynamic vertices PCA (D-VPCA), and dynamic complete information PCA (D-CIPCA). These methods advance traditional interval-valued PCA (IPCA) by integrating dynamic asp...