An improved first-principle model of AC powered solenoid operated valves for maintenance applications. (April 2023)

• Record Type: Journal Article
• Authors: Tod, Georges; Ompusunggu, Agusmian Partogi; Hostens, Erik
• Is Part Of: ISA transactions. Volume 135(2023)
• Page Start: 551
• Page End: 566
• Publication Date: 2023-04
• Subjects: AC solenoid operated valves -- Accelerated life test -- Wear -- Shading ring -- Condition monitoring -- Magneto-mechanical modelling; Engineering instruments -- Periodicals; Engineering instruments; Periodicals; Electronic journals; 629.805
• DOI: 10.1016/j.isatra.2022.09.032
• Languages: English
• ISSNs: 0019-0578

Abstract

Abstract: Solenoid operated valves (SOVs) are critical components in many industrial applications. There has been a continuing interest in the industry to have robust condition monitoring, prognostics and health management tools to support the condition based maintenance and predictive maintenance program for such valves. For critical assets like SOVs, it is of paramount interest to understand why a component might be declared as defective. In such a situation, a first principle-model based approach will always be preferred to a purely data-driven approach, because of its inherent interpretability. Furthermore, first principle-models typically have less free parameters than their data driven counterparts and will require less data to identify their parameters. In this paper, we present the improvement of a first-principle model of alternating current (AC) powered SOVs taking into account two important degradation effects. Using this model, we show that the state of degradation can be estimated from current and input voltage measurement signals on the solenoids. Our method is validated using data from an accelerated life test campaign on 48 identical AC-powered SOVs. Graphical abstract: Highlights: An electro-mechanical model of AC-powered SOVs is improved. Methodology to extract three CIs using the improved model and test data is proposed. Accelerated life test data of 48 valves demonstrate the effectiveness of the CIs. One CI shows a monotonically increasing trend which is good for prognostics. Other two CIs are good for shading ring degradation diagnostics.