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Runxia Guo
Person information
- affiliation: Civil Aviation University of China, Tianjin, China
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2020 – today
- 2024
- [j20]Jiusheng Chen, Chengyuan Fang, Xiaoyu Zhang, Jun Wu, Runxia Guo:
A Radial Basis Function-Based Graph Attention Network With Squeeze Loss Optimization for Link Prediction. IEEE Trans. Artif. Intell. 5(2): 724-736 (2024) - [j19]Xiaoyu Zhang, Jinping Zhang, Jiusheng Chen, Runxia Guo, Jun Wu:
A Semisupervised Aircraft Fuselage Defect Detection Network With Dynamic Attention and Class-Aware Adaptive Pseudolabel Assignment. IEEE Trans. Artif. Intell. 5(7): 3551-3563 (2024) - [j18]Jun Wu, Zhixiang Pan, Chenping Zhang, Runxia Guo, Xiaoyu Zhang, Jiusheng Chen:
An Axisymmetric Temperature Field Reconstruction Method Based on the Fan-Shaped Light Path Background Oriented Schlieren Method. IEEE Trans. Instrum. Meas. 73: 1-8 (2024) - [j17]Xiaoyu Zhang, Jinping Zhang, Jiusheng Chen, Runxia Guo, Jun Wu:
A dual-structure attention-based multi-level feature fusion network for automatic surface defect detection. Vis. Comput. 40(4): 2713-2732 (2024) - [d1]Xiaoyu Zhang, Jinping Zhang, Jiusheng Chen, Runxia Guo, Jun Wu:
Aircraft_Fuselage_DET2023: An Aircraft Fuselage Defect Detection Dataset. IEEE DataPort, 2024 - 2021
- [j16]Runxia Guo, Yingang Wang:
Remaining useful life prognostics for the rolling bearing based on a hybrid data-driven method. J. Syst. Control. Eng. 235(4) (2021) - [j15]Runxia Guo, Yu Wang, Haochi Zhang, Guoliang Zhang:
Remaining Useful Life Prediction for Rolling Bearings Using EMD-RISI-LSTM. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - 2020
- [j14]Runxia Guo, Zhenghua Liu, Jiaqi Wang:
Remaining useful life prediction for the electro-hydraulic actuator based on improved relevance vector machine. J. Syst. Control. Eng. 234(4) (2020) - [j13]Runxia Guo, Na Zhang:
A Process Monitoring Scheme for Uneven-Duration Batch Process Based on Sequential Moving Principal Component Analysis. IEEE Trans. Control. Syst. Technol. 28(2): 583-592 (2020) - [j12]Runxia Guo, Jianfei Sui:
Remaining Useful Life Prognostics for the Electrohydraulic Servo Actuator Using Hellinger Distance-Based Particle Filter. IEEE Trans. Instrum. Meas. 69(4): 1148-1158 (2020) - [j11]Runxia Guo, Zhenghua Liu, Ye Wei:
Remaining useful life prediction for the air turbine starter based on empirical mode decomposition and relevance vector machine. Trans. Inst. Meas. Control 42(13): 2578-2588 (2020)
2010 – 2019
- 2019
- [j10]Runxia Guo, Yancheng Jin:
Phase Identification and Online Monitoring for the Uneven Batch Processes. IEEE Access 7: 81351-81363 (2019) - [j9]Runxia Guo, Jianfei Sui:
Prognostics for an actuator based on an ensemble of support vector regression and particle filter. J. Syst. Control. Eng. 233(6) (2019) - 2018
- [j8]Runxia Guo, Kai Guo, Jiankang Dong:
Fault diagnosis for sensors in a class of nonlinear systems. IMA J. Math. Control. Inf. 35(2): 375-391 (2018) - [j7]Runxia Guo, Jiaqi Wang, Na Zhang, Jiankang Dong:
State prediction for the actuators of civil aircraft based on a fusion framework of relevance vector machine and autoregressive integrated moving average. J. Syst. Control. Eng. 232(5): 622-634 (2018) - [j6]Runxia Guo, Na Zhang, Jiaqi Wang, Jiankang Dong:
Phase partition and identification based on a two-step method for batch process. Trans. Inst. Meas. Control 40(16): 4472-4483 (2018) - 2017
- [j5]Runxia Guo, Quan Gan:
Prognostics for a Leaking Hydraulic Actuator Based on the F-Distribution Particle Filter. IEEE Access 5: 22409-22420 (2017) - [j4]Runxia Guo, Quan Gan, Junwei Zhang, Kai Guo, Jiankang Dong:
Huber cubature particle filter and online state estimation. J. Syst. Control. Eng. 231(3): 158-167 (2017) - [j3]Runxia Guo, Kai Guo, Jiankang Dong:
Phase Partition and Online Monitoring for Batch Process Based on Multiway BEAM. IEEE Trans Autom. Sci. Eng. 14(4): 1582-1589 (2017) - 2015
- [j2]Runxia Guo, Kai Guo, Jiankang Dong, Yi Zhu:
Time-varying and anti-disturbance fault diagnosis for a class of nonlinear systems. J. Syst. Control. Eng. 229(7): 573-586 (2015) - [j1]Runxia Guo, Kai Guo, Jiankang Dong:
Fault diagnosis for the landing phase of the aircraft based on an adaptive kernel principal component analysis algorithm. J. Syst. Control. Eng. 229(10): 917-926 (2015)
Coauthor Index
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