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2020 – today
- 2024
[j8]Xiaoyan Shao, Baoping Cai
, Lei Gao, Yanping Zhang, Chao Yang, Chuntan Gao:
Data-model-linked remaining useful life prediction method with small sample data: A case of subsea valve. Reliab. Eng. Syst. Saf. 250: 110323 (2024)- 2023
- [j7]Xuelin Liu, Baoping Cai, Xiaobing Yuan, Xiaoyan Shao, Yiliu Liu, Javed Akbar Khan, Hongyan Fan, Yonghong Liu, Zengkai Liu, Guijie Liu:
A hybrid multi-stage methodology for remaining useful life prediction of control system: Subsea Christmas tree as a case study. Expert Syst. Appl. 215: 119335 (2023) - [j6]Xiaoyan Shao, Baoping Cai, Yonghong Liu, Junyan Zhang, Zhongfei Sui, Qiang Feng:
Remaining useful life prediction via a hybrid DBN-KF-based method: A case of subsea Christmas tree valves. Reliab. Eng. Syst. Saf. 238: 109405 (2023) - [j5]Chenyushu Wang, Baoping Cai, Xiaoyan Shao, Liqian Zhao, Zhongfei Sui, Keyang Liu, Javed Akbar Khan, Lei Gao:
Dynamic risk assessment methodology of operation process for deepwater oil and gas equipment. Reliab. Eng. Syst. Saf. 239: 109538 (2023) - 2021
- [j4]Baoping Cai, Hongyan Fan, Xiaoyan Shao, Yonghong Liu, Guijie Liu, Zengkai Liu, Renjie Ji:
Remaining useful life re-prediction methodology based on Wiener process: Subsea Christmas tree system as a case study. Comput. Ind. Eng. 151: 106983 (2021) - [j3]Baoping Cai, Wenchao Li, Yiliu Liu, Xiaoyan Shao, Yanping Zhang, Yi Zhao, Zengkai Liu, Renjie Ji, Yonghong Liu:
Modeling for evaluation of safety instrumented systems with heterogeneous components. Reliab. Eng. Syst. Saf. 215: 107823 (2021) - 2020
- [j2]Baoping Cai, Xiaoyan Shao, Yonghong Liu, Xiangdi Kong, Haifeng Wang, Hongqi Xu, Weifeng Ge:
Remaining Useful Life Estimation of Structure Systems Under the Influence of Multiple Causes: Subsea Pipelines as a Case Study. IEEE Trans. Ind. Electron. 67(7): 5737-5747 (2020)
2010 – 2019
- 2016
- [j1]G. Badr, Levente J. Klein, Marcus Freitag, Conrad M. Albrecht, Fernando J. Marianno, Siyuan Lu, Xiaoyan Shao, Nigel Hinds, Gerrit Hoogenboom, Hendrik F. Hamann:
Toward large-scale crop production forecasts for global food security. IBM J. Res. Dev. 60(5/6): 5:1-5:11 (2016) - [c4]Xiaoyan Shao, Siyuan Lu, Theodore G. van Kessel, Hendrik F. Hamann, Leda Daehler, Jeffrey Cwagenberg, Alan Li:
Solar irradiance forecasting by machine learning for solar car races. IEEE BigData 2016: 2209-2216 - [c3]Siyuan Lu, Xiaoyan Shao, Marcus Freitag, Levente J. Klein, Jason D. Renwick, Fernando J. Marianno, Conrad M. Albrecht, Hendrik F. Hamann:
IBM PAIRS curated big data service for accelerated geospatial data analytics and discovery. IEEE BigData 2016: 2672-2675 - 2015
- [c2]Levente J. Klein, Fernando J. Marianno, Conrad M. Albrecht, Marcus Freitag, Siyuan Lu, Nigel Hinds, Xiaoyan Shao, Sergio Bermudez Rodriguez, Hendrik F. Hamann:
PAIRS: A scalable geo-spatial data analytics platform. IEEE BigData 2015: 1290-1298 - [c1]Siyuan Lu, Youngdeok Hwang, Ildar Khabibrakhmanov, Fernando J. Marianno, Xiaoyan Shao, Jie Zhang, Bri-Mathias S. Hodge, Hendrik F. Hamann:
Machine learning based multi-physical-model blending for enhancing renewable energy forecast - improvement via situation dependent error correction. ECC 2015: 283-290
Coauthor Index
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