Noise-dependent ranking of prognostics algorithms based on discrepancy without true damage information. - Yiwei Wang; Christian Gogu; Nam H. Kim; Raphael T. Haftka; Nicolas Binaud; Christian Bès (Reliab. Eng. Syst. Saf., 2019)

A Multistage Deep Transfer Learning Method for Machinery Fault Diagnostics Across Diverse Working Conditions and Devices. - Jian Zhou; Lianyu Zheng; Yiwei Wang; Christian Gogu (IEEE Access, 2020)

Variance based sensitivity analysis for Monte Carlo and importance sampling reliability assessment with Gaussian processes. - Morgane Menz; Sylvain Dubreuil; Jérôme Morio; Christian Gogu; Nathalie Bartoli; Marie Chiron (CoRR, 2020)

Adaptive coupling of reduced basis modeling and Kriging based active learning methods for reliability analyses. - Morgane Menz; Christian Gogu; Sylvain Dubreuil; Nathalie Bartoli; Jérôme Morio (Reliab. Eng. Syst. Saf., 2020)

A Framework for Generating Large Data Sets for Fatigue Damage Prognostic Problems. - Anass Akrim; Christian Gogu; Thomas Guillebot de Nerville; Paul Strähle; Brondon Waffa Pagou; Michel Salaün; Rob A. Vingerhoeds (ICPHM, 2022)

On some applications of Generalized Geometric Projection to optimal 3D printing. - Krishnaraj Vilasraj Bhat; Gabriele Capasso; Simone Coniglio; Joseph Morlier; Christian Gogu (Comput. Graph., 2022)

An end-to-end fault diagnostics method based on convolutional neural network for rotating machinery with multiple case studies. - Yiwei Wang; Jian Zhou; Lianyu Zheng; Christian Gogu (J. Intell. Manuf., 2022)

Probabilistic deep learning methodology for uncertainty quantification of remaining useful lifetime of multi-component systems. - Khanh T. P. Nguyen; Kamal Medjaher; Christian Gogu (Reliab. Eng. Syst. Saf., 2022)

Self-Supervised Learning for data scarcity in a fatigue damage prognostic problem. - Anass Akrim; Christian Gogu; Rob A. Vingerhoeds; Michel Salaün (Eng. Appl. Artif. Intell., 2023)

Rotor dynamics informed deep learning for detection, identification, and localization of shaft crack and unbalance defects. - Weikun Deng; Khanh T. P. Nguyen; Kamal Medjaher; Christian Gogu; Jérôme Morio (Adv. Eng. Informatics, 2023)

A Novel PIML Architecture with Innovative Learning Paradigm Applied in Battery Prognostics. - Weikun Deng; Khanh T. P. Nguyen; Christian Gogu; Kamal Mejaher; Jérôme Morio; Hung Le; Dazhong Wu (CoDIT, 2024)

Enhancing prognostics for sparse labeled data using advanced contrastive self-supervised learning with downstream integration. - Weikun Deng; Khanh T. P. Nguyen; Christian Gogu; Kamal Medjaher; Jérôme Morio (Eng. Appl. Artif. Intell., 2024)