An Unsupervised Reconstruction-Based Fault Detection Algorithm for Maritime Components. - André Listou Ellefsen; Emil Bjorlykhaug; Vilmar Æsøy; Houxiang Zhang (IEEE Access, 2019)

Validation of Data-Driven Labeling Approaches Using a Novel Deep Network Structure for Remaining Useful Life Predictions. - André Listou Ellefsen; Sergey Ushakov; Vilmar Æsøy; Houxiang Zhang (IEEE Access, 2019)

Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture. - André Listou Ellefsen; Emil Bjorlykhaug; Vilmar Æsøy; Sergey Ushakov; Houxiang Zhang (Reliab. Eng. Syst. Saf., 2019)

A Comprehensive Survey of Prognostics and Health Management Based on Deep Learning for Autonomous Ships. - André Listou Ellefsen; Vilmar Æsøy; Sergey Ushakov; Houxiang Zhang (IEEE Trans. Reliab., 2019)

A Novel Densely Connected Convolutional Neural Network for Sea-State Estimation Using Ship Motion Data. - Xu Cheng 003; Guoyuan Li; André Listou Ellefsen; Shengyong Chen; Hans Petter Hildre; Houxiang Zhang (IEEE Trans. Instrum. Meas., 2020)

Online Fault Detection in Autonomous Ferries: Using Fault-Type Independent Spectral Anomaly Detection. - André Listou Ellefsen; Peihua Han; Xu Cheng 003; Finn Tore Holmeset; Vilmar Æsøy; Houxiang Zhang (IEEE Trans. Instrum. Meas., 2020)

A Digital Twin of the Research Vessel Gunnerus for Lifecycle Services: Outlining Key Technologies. - Houxiang Zhang; Guoyuan Li; Lars Ivar Hatledal; Yingguang Chu; André Listou Ellefsen; Peihua Han; Pierre Major; Robert Skulstad; Tongtong Wang; Hans Petter Hildre (IEEE Robotics Autom. Mag., 2023)