Pengcheng Xia

According to our database, Pengcheng Xia authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Novel Shield Machine Main Bearing Health Evaluation Approach Based on Two-Stage Signal Decomposition.

Gang Shi, Chengjin Qin, Zhinan Zhang, Pengcheng Xia, Chengliang Liu

IEEE Trans. Ind. Informatics, March, 2026

Bi-directional digital twin prototype anchoring with multi-periodicity learning for few-shot fault diagnosis.

Pengcheng Xia, Zhichao Dong, Yixiang Huang, Chengjin Qin, Qun Chao, Chengliang Liu

CoRR, March, 2026

Domain generalization method based on causal disentanglement network for the fault diagnosis of axial piston pumps.

Yuechen Shao, Qun Chao, Pengcheng Xia, Zhiqiang Zhang, Chengliang Liu

Knowl. Based Syst., 2026

Digital twin surrogate modeling for real-time monitoring of gear transmissions using a dynamic graph attention network.

Benran Zhu, Qun Chao, Zhongrui Wang, Pengcheng Xia, Chengliang Liu

Adv. Eng. Informatics, 2026

A novel multi-scale domain-adaptive long-distance forecasting model for electric shovel digging resistance load.

Haifeng Yue, Jiacheng Jiang, Chengjin Qin, Rong Li, Mingyu You, Pengcheng Xia, Bo Han, Chengliang Liu

Adv. Eng. Informatics, 2026

Generalized envelope nonlinear Gini index-gram guided two-stage chirp mode decomposition for shield machine main bearing fault diagnosis.

Gang Shi, Chengjin Qin, Pengcheng Xia, Zhinan Zhang, Chengliang Liu

Adv. Eng. Informatics, 2026

Real-time prediction of TBM muck particle size distribution based on SAM-guided and contour-regression network.

Guoqiang Huang, Chengjin Qin, Pengcheng Xia, Haodi Wang, Honggan Yu, Jianfeng Tao, Chengliang Liu

Adv. Eng. Informatics, 2026

2025

Multi-modal cross-domain mixed fusion model with dual disentanglement for fault diagnosis under unseen working conditions.

Pengcheng Xia, Yixiang Huang, Chengjin Qin, Chengliang Liu

CoRR, December, 2025

Learn to Supervise: Deep Reinforcement Learning-Based Prototype Refinement for Few-Shot Motor Fault Diagnosis.

Pengcheng Xia, Yixiang Huang, Chengliang Liu, Jie Liu

IEEE Trans. Neural Networks Learn. Syst., June, 2025

2024

Towards prognostic generalization: a domain conditional invariance and specificity disentanglement network for remaining useful life prediction.

Pengcheng Xia, Yixiang Huang, Chengjin Qin, Chengliang Liu

J. Intell. Manuf., October, 2024

Cross-attentional subdomain adaptation with selective knowledge distillation for motor fault diagnosis under variable working conditions.

Yixiang Huang, Kaiwen Zhang, Pengcheng Xia, Zhilin Wang, Yanming Li, Chengliang Liu

Adv. Eng. Informatics, 2024

2023

A digital twin-enhanced semi-supervised framework for motor fault diagnosis based on phase-contrastive current dot pattern.

Pengcheng Xia, Yixiang Huang, Zhiyu Tao, Chengliang Liu, Jie Liu

Reliab. Eng. Syst. Saf., July, 2023

2022

Fault Knowledge Transfer Assisted Ensemble Method for Remaining Useful Life Prediction.

Pengcheng Xia, Yixiang Huang, Peng Li, Chengliang Liu, Lun Shi

IEEE Trans. Ind. Informatics, 2022

Self-attention-based adaptive remaining useful life prediction for IGBT with Monte Carlo dropout.

Dengyu Xiao, Chengjin Qin, Jianwen Ge, Pengcheng Xia, Yixiang Huang, Chengliang Liu

Knowl. Based Syst., 2022

2021

Tool Wear Prediction Under Varying Milling Conditions via Temporal Convolutional Network and Auxiliary Learning.

Pengcheng Xia, Yixiang Huang, Dengyu Xiao, Chengliang Liu, Lun Shi

Proceedings of the International IEEE Conference on Prognostics and Health Management, 2021