Xiaoyan Shao

According to our database, Xiaoyan Shao authored at least 13 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data-model-linked remaining useful life prediction method with small sample data: A case of subsea valve.

Xiaoyan Shao, Baoping Cai, Lei Gao, Yanping Zhang, Chao Yang, Chuntan Gao

Reliab. Eng. Syst. Saf., 2024

A digital twin-assisted intelligent fault diagnosis method for hydraulic systems.

Jun Yang, Baoping Cai, Xiangdi Kong, Xiaoyan Shao, Bo Wang, Yulong Yu, Lei Gao, Chao yang, Yonghong Liu

J. Ind. Inf. Integr., 2024

2023

Dynamic risk assessment methodology of operation process for deepwater oil and gas equipment.

Chenyushu Wang, Baoping Cai, Xiaoyan Shao, Liqian Zhao, Zhongfei Sui, Keyang Liu, Javed Akbar Khan, Lei Gao

Reliab. Eng. Syst. Saf., November, 2023

Remaining useful life prediction via a hybrid DBN-KF-based method: A case of subsea Christmas tree valves.

Xiaoyan Shao, Baoping Cai, Yonghong Liu, Junyan Zhang, Zhongfei Sui, Qiang Feng

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.

Xuelin Liu, Baoping Cai, Xiaobing Yuan, Xiaoyan Shao, Yiliu Liu, Javed Akbar Khan, Hongyan Fan, Yonghong Liu, Zengkai Liu, Guijie Liu

Expert Syst. Appl., April, 2023

2021

Modeling for evaluation of safety instrumented systems with heterogeneous components.

Baoping Cai, Wenchao Li, Yiliu Liu, Xiaoyan Shao, Yanping Zhang, Yi Zhao, Zengkai Liu, Renjie Ji, Yonghong Liu

Reliab. Eng. Syst. Saf., 2021

Remaining useful life re-prediction methodology based on Wiener process: Subsea Christmas tree system as a case study.

Baoping Cai, Hongyan Fan, Xiaoyan Shao, Yonghong Liu, Guijie Liu, Zengkai Liu, Renjie Ji

Comput. Ind. Eng., 2021

2020

Remaining Useful Life Estimation of Structure Systems Under the Influence of Multiple Causes: Subsea Pipelines as a Case Study.

Baoping Cai, Xiaoyan Shao, Yonghong Liu, Xiangdi Kong, Haifeng Wang, Hongqi Xu, Weifeng Ge

IEEE Trans. Ind. Electron., 2020

2016

Toward large-scale crop production forecasts for global food security.

G. Badr, Levente J. Klein, Marcus Freitag, Conrad M. Albrecht, Fernando J. Marianno, Siyuan Lu, Xiaoyan Shao, Nigel Hinds, Gerrit Hoogenboom, Hendrik F. Hamann

IBM J. Res. Dev., 2016

Solar irradiance forecasting by machine learning for solar car races.

Xiaoyan Shao, Siyuan Lu, Theodore G. van Kessel, Hendrik F. Hamann, Leda Daehler, Jeffrey Cwagenberg, Alan Li

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.

Siyuan Lu, Xiaoyan Shao, Marcus Freitag, Levente J. Klein, Jason D. Renwick, Fernando J. Marianno, Conrad M. Albrecht, Hendrik F. Hamann

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.

Siyuan Lu, Youngdeok Hwang, Ildar Khabibrakhmanov, Fernando J. Marianno, Xiaoyan Shao, Jie Zhang, Bri-Mathias S. Hodge, Hendrik F. Hamann

Proceedings of the 14th European Control Conference, 2015

PAIRS: A scalable geo-spatial data analytics platform.

Levente J. Klein, Fernando J. Marianno, Conrad M. Albrecht, Marcus Freitag, Siyuan Lu, Nigel Hinds, Xiaoyan Shao, Sergio Bermudez Rodriguez, Hendrik F. Hamann

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015