首页|Study Results from Mondragon University Provide New Insights into Machine Learni ng (Integrated Machine Learning and Probabilistic Degradation Approach for Vesse l Electric Motor Prognostics)
Study Results from Mondragon University Provide New Insights into Machine Learni ng (Integrated Machine Learning and Probabilistic Degradation Approach for Vesse l Electric Motor Prognostics)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news reporting originating from Arrasate M ondragon, Spain, by NewsRx correspondents, research stated, "In the transition t owards more sustainable ships, electric motors (EM) are being used in ship propu lsion systems to reduce emissions and increase efficiency. The safe operation of ships is crucial, and prognostics and health management applications have emerg ed as effective solutions to transit towards monitored reliable systems." Funders for this research include Research Council of Norway, Juan de la Cierva Incorporacion Fellowship, Spanish State Research Agency, Basque Government. Our news editors obtained a quote from the research from Mondragon University, " In this context, this paper presents a probabilistic EM prognostics model integr ating data-driven operational models and physics-informed degradation models. Fi rstly, motor torque and winding temperature are estimated through connected mach ine learning models, which are based on operational and meteorological data. Ope rational and meteorological variables drive the EM degradation model and enable the analysis of EM degradation under different operational and environmental con ditions. Subsequently, EM remaining useful life (RUL) is predicted within a prob abilistic Monte-Carlo approach combining the thermal-stress model along with the associated uncertainties. The methodology is tested on a real case study of the OV Ryvingen vessel, with collected data during voyages along the Norwegian coas t."
Arrasate MondragonSpainEuropeCybor gsEmergingTechnologiesMachine LearningMondragon University
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