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2020 – today
- 2025
[j9]Xuechun Qiao, Chenxuan Xu, Yasen Wang, Guijun Ma:
SDI: A sparse drift identification approach for force/torque sensor calibration in industrial robots. Neurocomputing 620: 129292 (2025)- 2024
- [j8]Guijun Ma
, Songpei Xu, Tao Yang, Zhenbang Du, Limin Zhu, Han Ding, Ye Yuan:
A Transfer Learning-Based Method for Personalized State of Health Estimation of Lithium-Ion Batteries. IEEE Trans. Neural Networks Learn. Syst. 35(1): 759-769 (2024) - 2023
- [j7]Guijun Ma, Zidong Wang, Weibo Liu, Jingzhong Fang, Yong Zhang, Han Ding, Ye Yuan:
Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach. IEEE CAA J. Autom. Sinica 10(7): 1530-1543 (2023) - [j6]Minzhi Chen, Guijun Ma, Weibo Liu, Nianyin Zeng, Xin Luo:
An overview of data-driven battery health estimation technology for battery management system. Neurocomputing 532: 152-169 (2023) - [j5]Guijun Ma, Zidong Wang, Weibo Liu, Jingzhong Fang, Yong Zhang, Han Ding, Ye Yuan:
A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries. Knowl. Based Syst. 259: 110012 (2023) - 2022
- [j4]Yong Zhang, Yuqi Xin, Zhi-Wei Liu, Ming Chi, Guijun Ma:
Health status assessment and remaining useful life prediction of aero-engine based on BiGRU and MMoE. Reliab. Eng. Syst. Saf. 220: 108263 (2022) - 2020
- [j3]Qianjun Liu, Guijun Ma, Cheng Cheng:
Data Fusion Generative Adversarial Network for Multi-Class Imbalanced Fault Diagnosis of Rotating Machinery. IEEE Access 8: 70111-70124 (2020) - [j2]Zhiwei Xue, Yong Zhang, Cheng Cheng, Guijun Ma:
Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression. Neurocomputing 376: 95-102 (2020) - [j1]Cheng Cheng, Beitong Zhou, Guijun Ma, Dongrui Wu, Ye Yuan:
Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data. Neurocomputing 409: 35-45 (2020) - [c2]Pengchao Hu, Guijun Ma, Yong Zhang, Cheng Cheng, Beitong Zhou, Ye Yuan:
State of health estimation for lithium-ion batteries with dynamic time warping and deep kernel learning model. ECC 2020: 602-607
2010 – 2019
- 2019
- [c1]Qianjun Liu, Guijun Ma, Cheng Cheng:
Generative Adversarial Network Based Multi-class Imbalanced Fault Diagnosis of Rolling Bearing. ICSRS 2019: 318-324 - [i4]Ye Yuan, Guijun Ma, Cheng Cheng, Beitong Zhou, Huan Zhao, Hai-Tao Zhang, Han Ding:
Artificial Intelligent Diagnosis and Monitoring in Manufacturing. CoRR abs/1901.02057 (2019) - [i3]Cheng Cheng, Beitong Zhou, Guijun Ma, Dongrui Wu, Ye Yuan:
Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis. CoRR abs/1903.06753 (2019) - [i2]Wenqian Jiang, Cheng Cheng, Beitong Zhou, Guijun Ma, Ye Yuan:
A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series. CoRR abs/1904.00575 (2019) - 2018
- [i1]Cheng Cheng, Guijun Ma, Yong Zhang, Mingyang Sun, Fei Teng, Han Ding, Ye Yuan:
Online Bearing Remaining Useful Life Prediction Based on a Novel Degradation Indicator and Convolutional Neural Networks. CoRR abs/1812.03315 (2018)
Coauthor Index
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