Zhangchun Tang
Orcid: 0000-0001-6516-1743
According to our database1,
Zhangchun Tang
authored at least 14 papers
between 2013 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
Interaction effects of multiple input parameters on the integrity of safety instrumented systems with the k-out-of-n redundancy arrangement under uncertainties.
Qual. Reliab. Eng. Int., October, 2023
Natural Language Processing Combined with Digital Twins to Drive Fusion Physics Design.
Proceedings of the 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum, 2023
2022
Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022
Research on Fault Diagnosis of Nuclear Gate Valve Based on Analysis of Energy Variation Characteristics of Vibration Signal.
Proceedings of the 2022 IEEE International Conference on Prognostics and Health Management, 2022
Proceedings of the 5th International Conference on Algorithms, 2022
2018
A surrogate-based iterative importance sampling method for structural reliability analysis.
Qual. Reliab. Eng. Int., 2018
2017
Effect of Truncated Input Parameter Distribution on the Integrity of Safety Instrumented Systems Under Epistemic Uncertainty.
IEEE Trans. Reliab., 2017
2016
An efficient method for evaluating the effect of input parameters on the integrity of safety systems.
Reliab. Eng. Syst. Saf., 2016
2015
Multi-Sensor Data Fusion Using a Relevance Vector Machine Based on an Ant Colony for Gearbox Fault Detection.
Sensors, 2015
2014
Reliability-Based Design Optimization for the Structures with Fuzzy Variables and Uncertain-but-Bounded Variables.
J. Aerosp. Inf. Syst., 2014
An efficient approach for design optimization of structures involving fuzzy variables.
Fuzzy Sets Syst., 2014
2013
Importance measure analysis with epistemic uncertainty and its moving least squares solution.
Comput. Math. Appl., 2013
A derivative based sensitivity measure of failure probability in the presence of epistemic and aleatory uncertainties.
Comput. Math. Appl., 2013
Appl. Math. Comput., 2013