Enhanced Predictive Diagnostics for Naval Equipment: Integrating MYT Decomposition for Advanced Process Monitoring

• Autorzy: Boullosa-Falces David , Sanchez-Varela Zaloa , Lavin Egoitz Urtaran , Sanz David Salvador , Garcia Sergio

Identyfikatory

DOI

10.12716/1001.19.02.25

• Języki publikacji: EN

Abstrakty

EN

The competitiveness in maritime operations demands maintenance strategies that ensure high reliability and availability at minimal cost. While predictive diagnostics have shown promise in detecting deviations from optimal operating conditions, current methodologies often fail to effectively isolate and identify the contributing process variables. This study introduces an enhanced predictive diagnostic approach that integrates MYT (Mason, Young, Tracy) decomposition with traditional statistical monitoring techniques, such as Hotelling's T² control charts. By applying this methodology to the auxiliary systems of a 284-meter LNG tanker, we identified that the key variables driving process anomalies were Superheated Steam in Boiler 1 (Tn/h) and Superheated Steam in Boiler 2 (Tn/h). These findings underscore the ability of the proposed method to detect deviations before critical failures occur, providing ship operators with actionable insights to enable precise maintenance scheduling, reduce operational costs, and prevent unscheduled downtime. The demonstrated integration of MYT decomposition into predictive maintenance protocols highlights its potential to optimize monitoring accuracy and decision-making in complex naval systems.

Słowa kluczowe

EN

risk management; maritime industry; marine engineering; operational efficiency; ship maintenance; safety of ship operations; ship systems reliability; harsh operating conditions

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2025
• Tom: Vol. 19 No. 2
• Strony: 543--548
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Boullosa-Falces David

• University of the Basque Country UPV/EHU, Portugalete, Spain

• https://orcid.org/0000-0002-3242-0283

autor

Sanchez-Varela Zaloa

• University of Split, Split, Croatia

• https://orcid.org/0000-0001-9212-0330

autor

Lavin Egoitz Urtaran

• University of the Basque Country UPV/EHU, Portugalete, Spain

• https://orcid.org/0000-0002-9522-321X

autor

Sanz David Salvador

• University of Cantabria, Santander, Spain

autor

Garcia Sergio

• University of Cantabria, Santander, Spain

Bibliografia

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Uwagi

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