Tongyang Pan
Orcid: 0000-0002-7460-2093
According to our database1,
Tongyang Pan
authored at least 18 papers
between 2019 and 2023.
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Bibliography
2023
Globally Localized Multisource Domain Adaptation for Cross-Domain Fault Diagnosis With Category Shift.
IEEE Trans. Neural Networks Learn. Syst., June, 2023
A variational transformer for predicting turbopump bearing condition under diverse degradation processes.
Reliab. Eng. Syst. Saf., April, 2023
2022
Toward Small Sample Challenge in Intelligent Fault Diagnosis: Attention-Weighted Multidepth Feature Fusion Net With Signals Augmentation.
IEEE Trans. Instrum. Meas., 2022
Similarity Metric-Based Metalearning Network Combining Prior Metatraining Strategy for Intelligent Fault Detection Under Small Samples Prerequisite.
IEEE Trans. Instrum. Meas., 2022
A multi-head attention network with adaptive meta-transfer learning for RUL prediction of rocket engines.
Reliab. Eng. Syst. Saf., 2022
Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects.
Knowl. Based Syst., 2022
Intelligent Fault Quantitative Identification for Industrial Internet of Things (IIoT) via a Novel Deep Dual Reinforcement Learning Model Accompanied With Insufficient Samples.
IEEE Internet Things J., 2022
2021
SASLN: Signals Augmented Self-Taught Learning Networks for Mechanical Fault Diagnosis Under Small Sample Condition.
IEEE Trans. Instrum. Meas., 2021
Deep Feature Generating Network: A New Method for Intelligent Fault Detection of Mechanical Systems Under Class Imbalance.
IEEE Trans. Ind. Informatics, 2021
A Small Sample Focused Intelligent Fault Diagnosis Scheme of Machines via Multimodules Learning With Gradient Penalized Generative Adversarial Networks.
IEEE Trans. Ind. Electron., 2021
2020
A Deep Learning Network via Shunt-Wound Restricted Boltzmann Machines Using Raw Data for Fault Detection.
IEEE Trans. Instrum. Meas., 2020
Multiple degradation mode analysis via gated recurrent unit mode recognizer and life predictors for complex equipment.
Comput. Ind., 2020
Hybrid attribute conditional adversarial denoising autoencoder for zero-shot classification of mechanical intelligent fault diagnosis.
Appl. Soft Comput., 2020
Towards Intelligent Fault Diagnosis under Small Sample Condition via A Signals Augmented Semi-supervised Learning Framework.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020
Sequence Adaptation Adversarial Network for Remaining Useful Life Prediction Using Small Data Set.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020
2019
A Novel Deep Learning Network via Multiscale Inner Product With Locally Connected Feature Extraction for Intelligent Fault Detection.
IEEE Trans. Ind. Informatics, 2019
Degradation feature extraction using multi-source monitoring data via logarithmic normal distribution based variational auto-encoder.
Comput. Ind., 2019
An Adversarial Learning Framework for Zero-shot Fault Recognition of Mechanical Systems.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019