Christian Gogu
According to our database1,
Christian Gogu
authored at least 12 papers
between 2019 and 2024.
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Bibliography
2024
Enhancing prognostics for sparse labeled data using advanced contrastive self-supervised learning with downstream integration.
Eng. Appl. Artif. Intell., 2024
A Novel PIML Architecture with Innovative Learning Paradigm Applied in Battery Prognostics.
Proceedings of the 10th International Conference on Control, 2024
2023
Rotor dynamics informed deep learning for detection, identification, and localization of shaft crack and unbalance defects.
Adv. Eng. Informatics, October, 2023
Eng. Appl. Artif. Intell., April, 2023
2022
Probabilistic deep learning methodology for uncertainty quantification of remaining useful lifetime of multi-component systems.
Reliab. Eng. Syst. Saf., 2022
An end-to-end fault diagnostics method based on convolutional neural network for rotating machinery with multiple case studies.
J. Intell. Manuf., 2022
Comput. Graph., 2022
Proceedings of the 2022 IEEE International Conference on Prognostics and Health Management, 2022
2020
Adaptive coupling of reduced basis modeling and Kriging based active learning methods for reliability analyses.
Reliab. Eng. Syst. Saf., 2020
Variance based sensitivity analysis for Monte Carlo and importance sampling reliability assessment with Gaussian processes.
CoRR, 2020
A Multistage Deep Transfer Learning Method for Machinery Fault Diagnostics Across Diverse Working Conditions and Devices.
IEEE Access, 2020
2019
Noise-dependent ranking of prognostics algorithms based on discrepancy without true damage information.
Reliab. Eng. Syst. Saf., 2019