Guijun Ma

According to our database, Guijun Ma authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Transfer Learning-Based Method for Personalized State of Health Estimation of Lithium-Ion Batteries.

Guijun Ma, Songpei Xu, Tao Yang, Zhenbang Du, Limin Zhu, Han Ding, Ye Yuan

IEEE Trans. Neural Networks Learn. Syst., January, 2024

2023

An overview of data-driven battery health estimation technology for battery management system.

Minzhi Chen, Guijun Ma, Weibo Liu, Nianyin Zeng, Xin Luo

Neurocomputing, May, 2023

A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries.

Guijun Ma, Zidong Wang, Weibo Liu, Jingzhong Fang, Yong Zhang, Han Ding, Ye Yuan

Knowl. Based Syst., 2023

Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach.

Guijun Ma, Zidong Wang, Weibo Liu, Jingzhong Fang, Yong Zhang, Han Ding, Ye Yuan

IEEE CAA J. Autom. Sinica, 2023

2022

Health status assessment and remaining useful life prediction of aero-engine based on BiGRU and MMoE.

Yong Zhang, Yuqi Xin, Zhi-Wei Liu, Ming Chi, Guijun Ma

Reliab. Eng. Syst. Saf., 2022

2020

Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression.

Zhiwei Xue, Yong Zhang, Cheng Cheng, Guijun Ma

Neurocomputing, 2020

Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data.

Cheng Cheng, Beitong Zhou, Guijun Ma, Dongrui Wu, Ye Yuan

Neurocomputing, 2020

Data Fusion Generative Adversarial Network for Multi-Class Imbalanced Fault Diagnosis of Rotating Machinery.

Qianjun Liu, Guijun Ma, Cheng Cheng

IEEE Access, 2020

State of health estimation for lithium-ion batteries with dynamic time warping and deep kernel learning model.

Pengchao Hu, Guijun Ma, Yong Zhang, Cheng Cheng, Beitong Zhou, Ye Yuan

Proceedings of the 18th European Control Conference, 2020

2019

A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series.

Wenqian Jiang, Cheng Cheng, Beitong Zhou, Guijun Ma, Ye Yuan

CoRR, 2019

Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis.

Cheng Cheng, Beitong Zhou, Guijun Ma, Dongrui Wu, Ye Yuan

CoRR, 2019

Artificial Intelligent Diagnosis and Monitoring in Manufacturing.

Ye Yuan, Guijun Ma, Cheng Cheng, Beitong Zhou, Huan Zhao, Hai-Tao Zhang, Han Ding

CoRR, 2019

Generative Adversarial Network Based Multi-class Imbalanced Fault Diagnosis of Rolling Bearing.

Qianjun Liu, Guijun Ma, Cheng Cheng

Proceedings of the 4th International Conference on System Reliability and Safety, 2019

2018

Online Bearing Remaining Useful Life Prediction Based on a Novel Degradation Indicator and Convolutional Neural Networks.

Cheng Cheng, Guijun Ma, Yong Zhang, Mingyang Sun, Fei Teng, Han Ding, Ye Yuan

CoRR, 2018