Pengfei Liang - RankMe

32 papers Journal 30Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A dual model joint learning framework for intelligent fault diagnosis of rotating machinery under noisy labels. Adv. Eng. Informatics Suiyan Wang, Jiaye Tian, Jitong Zhang, Haonan Yang, Xiaoming Yuan, Pengfei Liang
2026	J	`jnl`	An improved lightweight residual network model deployed on the edge device for the unsupervised cross-domain fault diagnosis. Expert Syst. Appl. Changbo He, Qi Meng, Xuefang Xu, Peng Chen, Pengfei Liang, Jiahui Cao
2026	J	`jnl`	Cross-domain diagnosis of cardiovascular disease from heart sound signals based on Mel-spectrogram and deep causal learning networks. Biomed. Signal Process. Control. Suiyan Wang, Jianwei Zheng, Ping Xie, Zijian Qiao, Xiaoming Yuan, Pengfei Liang
2026	J	`jnl`	MSA-GCN: A multi-modal spatiotemporal attention graph convolutional network for robust bearing fault diagnosis in noisy environments. Appl. Soft Comput. Ying Li, Xiaoping Liu, Pengfei Liang, Bin Wang, Xiaoming Yuan, Lijie Zhang
2026	J	`jnl`	Multi-modal semantic interaction fusion with dual-consistency contrastive learning for rotating machinery fault diagnosis. Eng. Appl. Artif. Intell. Ying Li, Xiaoping Liu, Xutong Zhang, Pengfei Liang, Xuetao Xu, Xiaoming Yuan, Lijie Zhang
2026	J	`jnl`	Pressure-only diagnosis of external gear pumps via ground-test modality augmentation and physics-guided feature enhancement. Expert Syst. Appl. Xiaochuan Li, Jinyang Wang, Juan Xu, Xu Ding, Pengfei Liang, David Mba, Chuan Li
2025	J	`jnl`	A local and global multi-head relation self-attention network for fault diagnosis of rotating machinery under noisy environments. Appl. Soft Comput. Yiwei Cheng, Xinnuo Lin, Wenwei Liu, Ming Zeng, Pengfei Liang
2025	J	`jnl`	DiT-SFDA: A source-free domain adaptation method for intelligent diagnosis of cardiovascular diseases with limited heart sound samples. Expert Syst. Appl. Suiyan Wang, Yang Liu, Zhixiang Liu, Xiaoming Yuan, Yun Ji, Pengfei Liang
2025	J	`jnl`	Fault Transfer Diagnosis of Hydraulic Pump via Dynamic Simulation and an Improved Domain Adversarial Neural Network. IEEE Trans. Instrum. Meas. Pengfei Liang, Yongqiang Zhang, Leitao Xu, Siyuan Liu
2025	J	`jnl`	Few-shot fault diagnosis of axial piston pump based on prior knowledge-embedded meta learning vision transformer under variable operating conditions. Expert Syst. Appl. Suiyan Wang, Hanqin Shuai, Junhui Hu, Jitong Zhang, Siyuan Liu, Xiaoming Yuan, Pengfei Liang
2025	J	`jnl`	Graph optimization algorithm enhanced by dual-scale spectral features with contrastive learning for robust bearing fault diagnosis. Knowl. Based Syst. Ying Li, Xiaoping Liu, Junhui Hu, Pengfei Liang, Bin Wang, Xiaoming Yuan, Lijie Zhang
2025	J	`jnl`	SRSGCN: A novel multi-sensor fault diagnosis method for hydraulic axial piston pump with limited data. Reliab. Eng. Syst. Saf. Pengfei Liang, Xiangfeng Wang, Chao Ai, Dongming Hou, Siyuan Liu
2025	J	`jnl`	Semi-supervised multi-adversarial domain-adaptive fault diagnosis for hydraulic pumps from pressure simulation data to experimental data. Adv. Eng. Informatics Siyuan Liu, Yongqiang Zhang, Chao Ai, Pengfei Liang
2025	J	`jnl`	WCFormer: An interpretable deep learning framework for heart sound signal analysis and automated diagnosis of cardiovascular diseases. Expert Syst. Appl. Suiyan Wang, Junhui Hu, Yanwei Du, Xiaoming Yuan, Zhongliang Xie, Pengfei Liang
2024	J	`jnl`	A broad learning model guided by global and local receptive causal features for online incremental machinery fault diagnosis. Expert Syst. Appl. Xuefang Xu, Shuo Bao, Pengfei Liang, Zijian Qiao, Changbo He, Peiming Shi
2024	J	`jnl`	A novel interpretable semi-supervised graph learning model for intelligent fault diagnosis of hydraulic pumps. Knowl. Based Syst. Ying Li, Lijie Zhang, Siyuan Liu, Xiangfeng Wang, Chenghang Sun, Pengfei Liang, Xiaoming Yuan
2024	J	`jnl`	Fault diagnosis study of hydraulic pump based on improved symplectic geometry reconstruction data enhancement method. Adv. Eng. Informatics Siyuan Liu, Jixiong Yin, Ming Hao, Pengfei Liang, Yongqiang Zhang, Chao Ai, Wanlu Jiang
2024	J	`jnl`	Intelligent fault diagnosis of rolling bearing based on an active federated local subdomain adaptation method. Adv. Eng. Informatics Xiaoming Yuan, Dongling Shi, Nian Shi, Ying Li, Pengfei Liang, Lijie Zhang, Zhi Zheng
2024	J	`jnl`	Multi-source domain adaptation using diffusion denoising for bearing fault diagnosis under variable working conditions. Knowl. Based Syst. Xuefang Xu, Xu Yang, Zijian Qiao, Pengfei Liang, Changbo He, Peiming Shi
2024	J	`jnl`	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. Pengfei Liang, Jiaye Tian, Suiyan Wang, Xiaoming Yuan
2024	J	`jnl`	Semi-supervised meta-path space extended graph convolution network for intelligent fault diagnosis of rotating machinery under time-varying speeds. Reliab. Eng. Syst. Saf. Ying Li, Lijie Zhang, Pengfei Liang, Xiangfeng Wang, Bin Wang, Leitao Xu
2024	J	`jnl`	Single and simultaneous fault diagnosis of gearbox via wavelet transform and improved deep residual network under imbalanced data. Eng. Appl. Artif. Intell. Suiyan Wang, Jiaye Tian, Pengfei Liang, Xuefang Xu, Zhuoze Yu, Siyuan Liu, Delong Zhang
2023	J	`jnl`	Fault transfer diagnosis of rolling bearings across multiple working conditions via subdomain adaptation and improved vision transformer network. Adv. Eng. Informatics Pengfei Liang, Zhuoze Yu, Bin Wang, Xuefang Xu, Jiaye Tian
2023	J	`jnl`	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 Lijie Zhang, Bin Wang, Pengfei Liang, Xiaoming Yuan, Na Li
2023	J	`jnl`	TSN: A novel intelligent fault diagnosis method for bearing with small samples under variable working conditions. Reliab. Eng. Syst. Saf. Peiming Shi, Shuping Wu, Xuefang Xu, Bofei Zhang, Pengfei Liang, Zijian Qiao
2023	J	`jnl`	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. Pengfei Liang, Bin Wang, Guoqian Jiang, Na Li, Lijie Zhang
2022	J	`jnl`	Intelligent fault diagnosis of rolling bearing based on wavelet transform and improved ResNet under noisy labels and environment. Eng. Appl. Artif. Intell. Pengfei Liang, Wenhui Wang, Xiaoming Yuan, Siyuan Liu, Lijie Zhang, Yiwei Cheng
2020	J	`jnl`	Intelligent Fault Diagnosis via Semisupervised Generative Adversarial Nets and Wavelet Transform. IEEE Trans. Instrum. Meas. Pengfei Liang, Chao Deng, Jun Wu, Guoqiang Li, Zhixin Yang, Yuanhang Wang
2020	J	`jnl`	Single and simultaneous fault diagnosis of gearbox via a semi-supervised and high-accuracy adversarial learning framework. Knowl. Based Syst. Pengfei Liang, Chao Deng, Jun Wu, Zhixin Yang, Jinxuan Zhu, Zihan Zhang
2019	J	`jnl`	Compound Fault Diagnosis of Gearboxes via Multi-label Convolutional Neural Network and Wavelet Transform. Comput. Ind. Pengfei Liang, Chao Deng, Jun Wu, Zhixin Yang, Jinxuan Zhu, Zihan Zhang
2019	—	`conf`	Intelligent Fault Diagnosis of Rolling Element Bearing Based on Convolutional Neural Network and Frequency Spectrograms. ICPHM Pengfei Liang, Chao Deng, Jun Wu, Zhixin Yang, Jinxuan Zhu
2018	—	`conf`	Study on Health Assessment and Residual Useful Life Prediction of Wind Turbine. AIM Chao Deng, Chaoqun Duan, Pengfei Liang, Jun Wu