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Viser treff 1-7 av 7

2020
1 Cheng, Xu; Li, Guoyuan; Ellefsen, Andre; Chen, Shengyong; Hildre, Hans Petter; Zhang, Houxiang.
A Novel Densely Connected Convolutional Neural Network for Sea State Estimation Using Ship Motion Data. IEEE Transactions on Instrumentation and Measurement 2020 s. -
NTNU Untitled
 
2019
2 Cheng, Xu; Ellefsen, Andre; Li, Guoyuan; Holmeset, Finn Tore; Zhang, Houxiang; Chen, Shengyong.
A Step-wise Feature Selection Scheme for a Prognostics and Health Management System in Autonomous Ferry Crossing Operation. I: Proceedings of 2019 IEEE International Conference on Mechatronics and Automation August 4 - 7, Tianjin, China. IEEE 2019 ISBN 978-1-7281-1699-0. s. 1877-1882
NTNU Untitled
 
3 Ellefsen, Andre; Bjørlykhaug, Emil Dale; Æsøy, Vilmar; Zhang, Houxiang.
An Unsupervised Reconstruction-Based Fault Detection Algorithm for Maritime Components. IEEE Access 2019 ;Volum 7. s. 16101-16109
NTNU Untitled
 
4 Ellefsen, Andre; Bjørlykhaug, Emil; Æsøy, Vilmar; Ushakov, Sergey; Zhang, Houxiang.
Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture. Reliability Engineering & System Safety 2019 ;Volum 183. s. 240-251
NTNU Untitled
 
5 Ellefsen, Andre; Cheng, Xu; Holmeset, Finn Tore; Æsøy, Vilmar; Zhang, Houxiang; Ushakov, Sergey.
Automatic Fault Detection for Marine Diesel Engine Degradation in Autonomous Ferry Crossing Operation. I: Proceedings of 2019 IEEE International Conference on Mechatronics and Automation August 4 - 7, Tianjin, China. IEEE 2019 ISBN 978-1-7281-1699-0. s. 2195-2200
NTNU Untitled
 
6 Ellefsen, Andre; Ushakov, Sergey; Æsøy, Vilmar; Zhang, Houxiang.
Validation of Data-Driven Labeling Approaches Using a Novel Deep Network Structure for Remaining Useful Life Predictions. IEEE Access 2019 ;Volum 7. s. 71563-71575
NTNU Untitled
 
7 Ellefsen, Andre; Æsøy, Vilmar; Ushakov, Sergey; Zhang, Houxiang.
A comprehensive survey of prognostics and health management based on deep learning for autonomous ships. IEEE Transactions on Reliability 2019 ;Volum 68.(2) s. 720-740
NTNU Untitled