Pengfei Liang
Orcid: 0000-0003-1938-895XAffiliations:
- Yanshan University, Qinhuangdao, China
According to our database1,
Pengfei Liang
authored at least 28 papers
between 2018 and 2026.
Collaborative distances:
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Bibliography
2026
An improved lightweight residual network model deployed on the edge device for the unsupervised cross-domain fault diagnosis.
Expert Syst. Appl., 2026
A dual model joint learning framework for intelligent fault diagnosis of rotating machinery under noisy labels.
Adv. Eng. Informatics, 2026
2025
Fault Transfer Diagnosis of Hydraulic Pump via Dynamic Simulation and an Improved Domain Adversarial Neural Network.
IEEE Trans. Instrum. Meas., 2025
SRSGCN: A novel multi-sensor fault diagnosis method for hydraulic axial piston pump with limited data.
Reliab. Eng. Syst. Saf., 2025
Graph optimization algorithm enhanced by dual-scale spectral features with contrastive learning for robust bearing fault diagnosis.
Knowl. Based Syst., 2025
Few-shot fault diagnosis of axial piston pump based on prior knowledge-embedded meta learning vision transformer under variable operating conditions.
Expert Syst. Appl., 2025
DiT-SFDA: A source-free domain adaptation method for intelligent diagnosis of cardiovascular diseases with limited heart sound samples.
Expert Syst. Appl., 2025
WCFormer: An interpretable deep learning framework for heart sound signal analysis and automated diagnosis of cardiovascular diseases.
Expert Syst. Appl., 2025
A local and global multi-head relation self-attention network for fault diagnosis of rotating machinery under noisy environments.
Appl. Soft Comput., 2025
Semi-supervised multi-adversarial domain-adaptive fault diagnosis for hydraulic pumps from pressure simulation data to experimental data.
Adv. Eng. Informatics, 2025
2024
Multi-source information joint transfer diagnosis for rolling bearing with unknown faults via wavelet transform and an improved domain adaptation network.
Reliab. Eng. Syst. Saf., February, 2024
Semi-supervised meta-path space extended graph convolution network for intelligent fault diagnosis of rotating machinery under time-varying speeds.
Reliab. Eng. Syst. Saf., 2024
Multi-source domain adaptation using diffusion denoising for bearing fault diagnosis under variable working conditions.
Knowl. Based Syst., 2024
A novel interpretable semi-supervised graph learning model for intelligent fault diagnosis of hydraulic pumps.
Knowl. Based Syst., 2024
A broad learning model guided by global and local receptive causal features for online incremental machinery fault diagnosis.
Expert Syst. Appl., 2024
Single and simultaneous fault diagnosis of gearbox via wavelet transform and improved deep residual network under imbalanced data.
Eng. Appl. Artif. Intell., 2024
Intelligent fault diagnosis of rolling bearing based on an active federated local subdomain adaptation method.
Adv. Eng. Informatics, 2024
Fault diagnosis study of hydraulic pump based on improved symplectic geometry reconstruction data enhancement method.
Adv. Eng. Informatics, 2024
2023
TSN: A novel intelligent fault diagnosis method for bearing with small samples under variable working conditions.
Reliab. Eng. Syst. Saf., December, 2023
Semi-supervised fault diagnosis of gearbox based on feature pre-extraction mechanism and improved generative adversarial networks under limited labeled samples and noise environment.
Adv. Eng. Informatics, October, 2023
Fault transfer diagnosis of rolling bearings across multiple working conditions via subdomain adaptation and improved vision transformer network.
Adv. Eng. Informatics, August, 2023
Unsupervised fault diagnosis of wind turbine bearing via a deep residual deformable convolution network based on subdomain adaptation under time-varying speeds.
Eng. Appl. Artif. Intell., 2023
2022
Intelligent fault diagnosis of rolling bearing based on wavelet transform and improved ResNet under noisy labels and environment.
Eng. Appl. Artif. Intell., 2022
2020
Intelligent Fault Diagnosis via Semisupervised Generative Adversarial Nets and Wavelet Transform.
IEEE Trans. Instrum. Meas., 2020
Single and simultaneous fault diagnosis of gearbox via a semi-supervised and high-accuracy adversarial learning framework.
Knowl. Based Syst., 2020
2019
Compound Fault Diagnosis of Gearboxes via Multi-label Convolutional Neural Network and Wavelet Transform.
Comput. Ind., 2019
Intelligent Fault Diagnosis of Rolling Element Bearing Based on Convolutional Neural Network and Frequency Spectrograms.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019
2018
Proceedings of the 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2018