Xiaoyan Shao
Orcid: 0009-0006-4018-3894
According to our database1,
Xiaoyan Shao
authored at least 17 papers
between 2015 and 2025.
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Bibliography
2025
Intelligent diagnosis method for early faults of electric-hydraulic control system based on residual analysis.
Reliab. Eng. Syst. Saf., 2025
Channel estimation for IRS-Aided mmWave massive MIMO systems based on variational Bayesian method with Laplacian prior.
Phys. Commun., 2025
A system-centred predictive maintenance re-optimization method based on multi-agent deep reinforcement learning.
Expert Syst. Appl., 2025
A unified solution for replacing position embedding in Vision Transformer for object detection.
Eng. Appl. Artif. Intell., 2025
2024
Data-model-linked remaining useful life prediction method with small sample data: A case of subsea valve.
Reliab. Eng. Syst. Saf., 2024
J. Ind. Inf. Integr., 2024
2023
Dynamic risk assessment methodology of operation process for deepwater oil and gas equipment.
Reliab. Eng. Syst. Saf., November, 2023
Remaining useful life prediction via a hybrid DBN-KF-based method: A case of subsea Christmas tree valves.
Reliab. Eng. Syst. Saf., October, 2023
A hybrid multi-stage methodology for remaining useful life prediction of control system: Subsea Christmas tree as a case study.
Expert Syst. Appl., April, 2023
2021
Modeling for evaluation of safety instrumented systems with heterogeneous components.
Reliab. Eng. Syst. Saf., 2021
Remaining useful life re-prediction methodology based on Wiener process: Subsea Christmas tree system as a case study.
Comput. Ind. Eng., 2021
2020
Remaining Useful Life Estimation of Structure Systems Under the Influence of Multiple Causes: Subsea Pipelines as a Case Study.
IEEE Trans. Ind. Electron., 2020
2016
IBM J. Res. Dev., 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
IBM PAIRS curated big data service for accelerated geospatial data analytics and discovery.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2015
Machine learning based multi-physical-model blending for enhancing renewable energy forecast - improvement via situation dependent error correction.
Proceedings of the 14th European Control Conference, 2015
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015