Peiming Shi

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 25

Top Topics

Unsupervised Clustering

Fault Diagnosis

Rotating Machinery

Domain Adaptation

Top Venues

Knowl. Based Syst.

J. Medical Syst.

Publications

Xuefang Xu, Shuo Bao, Haidong Shao, Peiming Shi
A multi-sensor fused incremental broad learning with D-S theory for online fault diagnosis of rotating machinery. Adv. Eng. Informatics 60 (2024)
Dongying Han, Yu Zhang, Yue Yu, Jinghui Tian, Peiming Shi
Multi-source heterogeneous information fusion fault diagnosis method based on deep neural networks under limited datasets. Appl. Soft Comput. 154 (2024)
Dongxiao Hou, Jiahui Chen, Rongcai Cheng, Xue Hu, Peiming Shi
A bearing remaining life prediction method under variable operating conditions based on cross-transformer fusioning segmented data cleaning. Reliab. Eng. Syst. Saf. 245 (2024)
Jinghui Tian, Dongying Han, Hamid Reza Karimi, Yu Zhang, Peiming Shi
A universal multi-source domain adaptation method with unsupervised clustering for mechanical fault diagnosis under incomplete data. Neural Networks 173 (2024)
Junjie He, Peiming Shi, Xuefang Xu, Dongying Han
Rolling mill fault diagnosis under limited datasets. Knowl. Based Syst. 291 (2024)
Shiting Hu, Xuefang Xu, Mengdi Li, Peiming Shi, Ruixiong Li, Shuying Wang
Incremental forecaster using C-C algorithm to phase space reconstruction and broad learning network for short-term wind speed prediction. Eng. Appl. Artif. Intell. 128 (2024)
Xuefang Xu, Shuo Bao, Pengfei Liang, Zijian Qiao, Changbo He, Peiming Shi
A broad learning model guided by global and local receptive causal features for online incremental machinery fault diagnosis. Expert Syst. Appl. 246 (2024)
Yu Zhang, Dongying Han, Peiming Shi
Semi-supervised prototype network based on compact-uniform-sparse representation for rotating machinery few-shot class incremental fault diagnosis. Expert Syst. Appl. 255 (2024)
Peiming Shi, Jinxia Li, Wenyue Zhang, Mengdi Li, Dongying Han
Characteristic frequency detection of steady-state visual evoked potentials based on filter bank second-order underdamped tristable stochastic resonance. Biomed. Signal Process. Control. 84 (2023)
Shuai Zhao, Peiming Shi
A Novel Piecewise Tri-Stable Stochastic Resonance System Driven by Dichotomous Noise. Sensors 23 (2) (2023)
Yu Zhang, Dongying Han, Jinghui Tian, Peiming Shi
Domain adaptation meta-learning network with discard-supplement module for few-shot cross-domain rotating machinery fault diagnosis. Knowl. Based Syst. 268 (2023)
Rongrong Peng, Xingzhong Zhang, Peiming Shi
Multi-Representation Domain Adaptation Network with Duplex Adversarial Learning for Hot-Rolling Mill Fault Diagnosis. Entropy 25 (1) (2023)
Peiming Shi, Shuping Wu, Xuefang Xu, Bofei Zhang, Pengfei Liang, Zijian Qiao
TSN: A novel intelligent fault diagnosis method for bearing with small samples under variable working conditions. Reliab. Eng. Syst. Saf. 240 (2023)
Jinghui Tian, Dongying Han, Hamid Reza Karimi, Yu Zhang, Peiming Shi
Deep learning-based open set multi-source domain adaptation with complementary transferability metric for mechanical fault diagnosis. Neural Networks 162 (2023)
Rongrong Peng, Xingzhong Zhang, Peiming Shi
Bearing Fault Diagnosis of Hot-Rolling Mill Utilizing Intelligent Optimized Self-Adaptive Deep Belief Network with Limited Samples. Sensors 22 (20) (2022)
Jinghui Tian, Dongying Han, Mengdi Li, Peiming Shi
A multi-source information transfer learning method with subdomain adaptation for cross-domain fault diagnosis. Knowl. Based Syst. 243 (2022)
Peiming Shi, Peng Xue, Aoyun Liu, Dongying Han
A Novel Rotating Machinery Fault Diagnosis Method Based on Adaptive Deep Belief Network Structure and Dynamic Learning Rate Under Variable Working Conditions. IEEE Access 9 (2021)
Rongrong Fu, Mengmeng Han, Tiantian Bao, Fuwang Wang, Peiming Shi
Discrimination Improvement Through Undesirable Feedback in Coupling Object Manipulation Tasks. Int. J. Neural Syst. 31 (5) (2021)
Xiao Su, Peiming Shi, Qing Guo, Xingguo Zhang, Haixia Yu, Dachao Li
Feature Extraction Method for Rolling Bear Fault Signal Based on time-Delayed Feedback Asymmetric tristable Stochastic Resonance. I2MTC (2021)
Jinghui Tian, Dongying Han, Lifeng Xiao, Peiming Shi
Multi-scale deep coupling convolutional neural network with heterogeneous sensor data for intelligent fault diagnosis. J. Intell. Fuzzy Syst. 41 (1) (2021)
Rongrong Fu, Mengmeng Han, Fuwang Wang, Peiming Shi
Intentions Recognition of EEG Signals with High Arousal Degree for Complex Task. J. Medical Syst. 44 (6) (2020)
Dongying Han, Xiaoci Guo, Peiming Shi
An Intelligent Fault Diagnosis Method of Variable Condition Gearbox Based on Improved DBN Combined With WPEE and MPE. IEEE Access 8 (2020)
Rongrong Fu, Yongsheng Tian, Peiming Shi, Tiantian Bao
Automatic Detection of Epileptic Seizures in EEG Using Sparse CSP and Fisher Linear Discrimination Analysis Algorithm. J. Medical Syst. 44 (2) (2020)
Wenyue Zhang, Peiming Shi, Mengdi Li, Yongxu Jiao, Dongying Han
Signal Detection Based on Second-Order Underdamped Tristable Stochastic Resonance and Its Application to Weak Fault Diagnosis. IEEE Access 7 (2019)
Rongrong Fu, Yongsheng Tian, Tiantian Bao, Zong Meng, Peiming Shi
Improvement Motor Imagery EEG Classification Based on Regularized Linear Discriminant Analysis. J. Medical Syst. 43 (6) (2019)
Dongying Han, Peiming Shi, Kewei Xia
Nonlinear Torsional Vibration Dynamics Behaviors of Rolling Mill's Multi-DOF Main Drive System under Parametric Excitation. J. Appl. Math. 2014 (2014)