Blar i Institutt for havromsoperasjoner og byggteknikk på forfatter "Ushakov, Sergey"
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A Comprehensive Survey of Prognostics and Health Management based on Deep Learning for Autonomous Ships
Ellefsen, Andre; Ushakov, Sergey; Æsøy, Vilmar; Zhang, Houxiang (Journal article; Peer reviewed, 2019)The maritime industry widely expects to have autonomous and semiautonomous ships (autoships) in the near future. In order to operate and maintain complex and integrated systems in a safe, efficient, and cost-beneficial ... -
Automatic Fault Detection for Marine Diesel Engine Degradation in Autonomous Ferry Crossing Operation
Ellefsen, Andre; Cheng, Xu; Holmeset, Finn Tore; Ushakov, Sergey; Æsøy, Vilmar; Zhang, Houxiang (IEEE International Conference on Mechatronics and Automation;, Chapter, 2019)The maritime industry generally anticipates having semi-autonomous ferries in commercial use on the west coast of Norway by the end of this decade. In order to schedule maintenance operations of critical components in a ... -
Control of the combustion process and emission formation in marine gas engines
Krivopolianskii, Vladimir; Valberg, Ingebrigt; Stenersen, Dag; Ushakov, Sergey; Æsøy, Vilmar (Journal article; Peer reviewed, 2018)A smooth transition to the use of gas engines instead of conventional engines in marine shipping is a logical pathway for compliance with tightening environmental regulations. Currently, five major gas engine concepts are ... -
Experimental Study of Ignition Delay, Combustion, and NO Emission Characteristics of Hydrogenated Vegetable Oil
Krivopolianskii, Vladimir; Bjørgen, Karl Oskar Pires; Emberson, David; Ushakov, Sergey; Æsøy, Vilmar; Løvås, Terese (Journal article; Peer reviewed, 2019)In this article, a comparative study of hydrogenated vegetable oil (HVO) and diesel was performed in two constant volume combustion rigs and an optical accessible compression-ignited chamber (OACIC). Ignition, combustion, ... -
Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture
Ellefsen, Andre; Bjørlykhaug, Emil; Æsøy, Vilmar; Ushakov, Sergey; Zhang, Houxiang (Journal article; Peer reviewed, 2018)In recent years, research has proposed several deep learning (DL) approaches to providing reliable remaining useful life (RUL) predictions in Prognostics and Health Management (PHM) applications. Although supervised DL ... -
Validation of Data-Driven Labeling Approaches Using a Novel Deep Network Structure for Remaining Useful Life Predictions
Ellefsen, Andre; Ushakov, Sergey; Æsøy, Vilmar; Zhang, Houxiang (Journal article; Peer reviewed, 2019)Today, most research studies that aim to predict the remaining useful life (RUL) of industrial components based on deep learning techniques are using piecewise linear (PwL) run-to-failure targets to model the degradation ...