Jianbo Yu
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
- Jianbo Yu 001 (Huazhong University of Science and Technology, Wuhan, China)
- Jianbo Yu 002 (Fudan University, Shanghai, China)
- Jianbo Yu 003 (Chinese University of Hong Kong, Shenzhen, China)
- Jianbo Yu 004 (Tongji University, Shanghai, China)
- Jianbo Yuan
- Jianbo Yue
Bibliography
2025
Eng. Appl. Artif. Intell., 2025
Cross-supervised contrastive learning domain adaptation network for steel defect segmentation.
Adv. Eng. Informatics, 2025
Multiple path alignment generative adversarial network for rotating Machinery fault diagnosis with limited data.
Adv. Eng. Informatics, 2025
Speed-Normalized Expansion-and-Shrinkage network for health indicator generating under time-varying conditions.
Adv. Eng. Informatics, 2025
2024
Deep feature interactive network for machinery fault diagnosis using multi-source heterogeneous data.
Reliab. Eng. Syst. Saf., February, 2024
Temporal self-supervised domain adaptation network for machinery fault diagnosis under multiple non-ideal conditions.
Reliab. Eng. Syst. Saf., 2024
Int. J. Prod. Res., 2024
Residual squeeze-and-excitation convolutional auto-encoder for fault detection and diagnosis in complex industrial processes.
Eng. Appl. Artif. Intell., 2024
Defect detection of printed circuit board based on adaptive key-points localization network.
Comput. Ind. Eng., 2024
Dynamic Contrast Analyzer for Generating Health Indicators in Machinery Monitoring Under Time-varying Speed Conditions.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2024
2023
Generative Adversarial Network for State of Health Estimation of Lithium-ion Batteries.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023
Bearing compound fault diagnosis based on enhanced variational mode extraction algorithm.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023
2022
Bias Stability Investigation of a Triaxial Navigation-Compatible Accelerometer with an Electrostatic Spring.
Sensors, 2022
A sparse domain adaption network for remaining useful life prediction of rolling bearings under different working conditions.
Reliab. Eng. Syst. Saf., 2022
Evaluation Model of Physical Education Integrated Ideology and Politics Based on Principal Component Analysis.
Mob. Networks Appl., 2022
Deep sparse representation network for feature learning of vibration signals and its application in gearbox fault diagnosis.
Knowl. Based Syst., 2022
Data-feature-driven nonlinear process monitoring based on joint deep learning models with dual-scale.
Inf. Sci., 2022
One-dimensional residual convolutional auto-encoder for fault detection in complex industrial processes.
Int. J. Prod. Res., 2022
Retraction notice to "Knowledge-based deep belief network for machining roughness prediction and knowledge" [COMIND. Vol. 121 (2020) 103262].
Comput. Ind., 2022
2021
<i>Deep unLSTM network</i>: Features with memory information extracted from unlabeled data and their application on industrial unsupervised industrial fault detection.
Appl. Soft Comput., 2021
2020
Investigation on Stray-Capacitance Influences of Coaxial Cables in Capacitive Transducers for a Space Inertial Sensor.
Sensors, 2020
Multiscale intelligent fault detection system based on agglomerative hierarchical clustering using stacked denoising autoencoder with temporal information.
Appl. Soft Comput., 2020
2017
2012
Fault Prediction and Fault-Tolerant of Lithium-ion Batteries Temperature Failure for Electric Vehicle.
Proceedings of the Third International Conference on Digital Manufacturing & Automation, 2012