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Open access Jul 2026

A comprehensive process monitoring model based on nonstationary probabilistic predictable feature analysis

Case studies on the three-phase flow facility benchmark, including top separator input blockage and slugging faults, show that NS-PPFA achieves higher fault detection rates and lower false alarm rates than conventional methods.

Qiao Luo, Hai-Quan Yu, M. Zheng et al. · 0 citations

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