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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.
EN
In this article, the authors analysed the starting modes of the powerful marine electric drives with asynchronous electric motors and capacitor reactive power compensators. The article considers reactive power control in the class of linear-pulse regulators associated with the unstressed switching of the capacitors in the network. The analysis of reactive power parameters sensors which are used in the discrete-pulse control system showed that the most effective sensor is the reactive conductivity sensor, the value of which is defined as the average value during the switching period and the current sensor, where measurements occur in the moments when voltage transition through zero. The technical implementation of the second sensor is quite simple, does not require the execution of division and multiplication operations, i.e. use of controllers.
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