Christian Gogu

According to our database1, Christian Gogu authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

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

Self-Supervised Learning for data scarcity in a fatigue damage prognostic problem.
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

On some applications of Generalized Geometric Projection to optimal 3D printing.
Comput. Graph., 2022

A Framework for Generating Large Data Sets for Fatigue Damage Prognostic Problems.
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


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