John-William, Vasquez-Capacho , Carlos-Gustavo, Perez-Zuniga , RODRÍGUEZ URREGO, LEONARDO
No
CT F Cienc. Tecnol. Futuro
Article
Científica
01/12/2024
001459391300001
This paper presents a novel V-nets-Based Alarm Management (VBAM) methodology designed to enhance supervision and safety in Green Hydrogen Plants (GHPs). The proposed approach integrates visual modeling and temporal pattern analysis to accurately detect and manage alarms, seeking to reduce false positives and optimize response times. The methodology starts with a Preliminary Hazard and Operability (HAZOP) analysis to identify potential hazards and critical operational conditions, which are the foundation for constructing V-nets that map the temporal relationships between discrete events. By systematically capturing event sequences and their interdependencies, the VBAM approach allows for early fault detection and a proactive alarm management system fit for varying operational scenarios. A case the VBAM methodology in reducing downtime, improving system provides a comprehensive framework for addressing discrete event challenges in alarm management, paving the way for for further performance optimization.
Green Plants; alarm management; V-nets; diagnosis; DES