Guijun Ma
Orcid: 0000-0003-0300-646X
According to our database1,
Guijun Ma
authored at least 15 papers
between 2018 and 2025.
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Bibliography
2025
SDI: A sparse drift identification approach for force/torque sensor calibration in industrial robots.
Neurocomputing, 2025
2024
A Transfer Learning-Based Method for Personalized State of Health Estimation of Lithium-Ion Batteries.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
2023
An overview of data-driven battery health estimation technology for battery management system.
Neurocomputing, May, 2023
A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries.
Knowl. Based Syst., 2023
Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach.
IEEE CAA J. Autom. Sinica, 2023
2022
Health status assessment and remaining useful life prediction of aero-engine based on BiGRU and MMoE.
Reliab. Eng. Syst. Saf., 2022
2020
Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression.
Neurocomputing, 2020
Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data.
Neurocomputing, 2020
Data Fusion Generative Adversarial Network for Multi-Class Imbalanced Fault Diagnosis of Rotating Machinery.
IEEE Access, 2020
State of health estimation for lithium-ion batteries with dynamic time warping and deep kernel learning model.
Proceedings of the 18th European Control Conference, 2020
2019
CoRR, 2019
Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis.
CoRR, 2019
Generative Adversarial Network Based Multi-class Imbalanced Fault Diagnosis of Rolling Bearing.
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.
CoRR, 2018