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Ziqian Kong
2020 – today
- 2024
- [j6]Yuling Zhan, Ziqian Kong, Ziqi Wang, Xiaohang Jin, Zhengguo Xu:
Remaining useful life prediction with uncertainty quantification based on multi-distribution fusion structure. Reliab. Eng. Syst. Saf. 251: 110383 (2024) - [j5]Zixuan He, Ziqian Kong, Xiaohang Jin, Zijun Que, Zhengguo Xu:
Remaining Useful Life Prediction of Radioisotope Thermoelectric Generator Using a Component-Level Mechanism-Based Nonlinear Additive Wiener Process. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [i2]Ying Zhu, Shengchang Li, Ziqian Kong, Peilan Xu:
Graph Retrieval Augmented Trustworthiness Reasoning. CoRR abs/2408.12333 (2024) - [i1]Zixuan He, Ziqian Kong, Zhengyu Chen, Yuling Zhan, Zijun Que, Zhengguo Xu:
A Multi-Granularity Supervised Contrastive Framework for Remaining Useful Life Prediction of Aero-engines. CoRR abs/2411.00461 (2024) - 2023
- [j4]Xiaohang Jin, Hao Wang, Ziqian Kong, Zhengguo Xu, Wei Qiao:
Condition Monitoring of Wind Turbine Generators Based on SCADA Data and Feature Transfer Learning. IEEE Access 11: 9441-9450 (2023) - [j3]Zian Chen, Xiaohang Jin, Ziqian Kong, Feng Wang, Zhengguo Xu:
Global and local information integrated network for remaining useful life prediction. Eng. Appl. Artif. Intell. 126: 106956 (2023) - [j2]Ziqian Kong, Xiaohang Jin, Zhengguo Xu, Zian Chen:
A contrastive learning framework enhanced by unlabeled samples for remaining useful life prediction. Reliab. Eng. Syst. Saf. 234: 109163 (2023) - 2022
- [j1]Ziqian Kong, Xiaohang Jin, Zhengguo Xu, Bin Zhang:
Spatio-Temporal Fusion Attention: A Novel Approach for Remaining Useful Life Prediction Based on Graph Neural Network. IEEE Trans. Instrum. Meas. 71: 1-12 (2022)
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