Peiming Shi
Orcid: 0000-0001-6061-7748Affiliations:
- Yanshan University, Qinhuangdao, Hebei, China
According to our database1,
Peiming Shi
authored at least 28 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Adversarial Domain Adaptation Model Based on LDTW for Extreme Partial Transfer Fault Diagnosis of Rotating Machines.
IEEE Trans. Instrum. Meas., 2024
A bearing remaining life prediction method under variable operating conditions based on cross-transformer fusioning segmented data cleaning.
Reliab. Eng. Syst. Saf., 2024
A universal multi-source domain adaptation method with unsupervised clustering for mechanical fault diagnosis under incomplete data.
Neural Networks, 2024
Multi-source domain adaptation using diffusion denoising for bearing fault diagnosis under variable working conditions.
Knowl. Based Syst., 2024
Semi-supervised prototype network based on compact-uniform-sparse representation for rotating machinery few-shot class incremental fault diagnosis.
Expert Syst. Appl., 2024
A broad learning model guided by global and local receptive causal features for online incremental machinery fault diagnosis.
Expert Syst. Appl., 2024
Incremental forecaster using C-C algorithm to phase space reconstruction and broad learning network for short-term wind speed prediction.
Eng. Appl. Artif. Intell., 2024
Multi-source heterogeneous information fusion fault diagnosis method based on deep neural networks under limited datasets.
Appl. Soft Comput., 2024
A multi-sensor fused incremental broad learning with D-S theory for online fault diagnosis of rotating machinery.
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
Characteristic frequency detection of steady-state visual evoked potentials based on filter bank second-order underdamped tristable stochastic resonance.
Biomed. Signal Process. Control., July, 2023
Deep learning-based open set multi-source domain adaptation with complementary transferability metric for mechanical fault diagnosis.
Neural Networks, May, 2023
A Novel Piecewise Tri-Stable Stochastic Resonance System Driven by Dichotomous Noise.
Sensors, January, 2023
Multi-Representation Domain Adaptation Network with Duplex Adversarial Learning for Hot-Rolling Mill Fault Diagnosis.
Entropy, January, 2023
Domain adaptation meta-learning network with discard-supplement module for few-shot cross-domain rotating machinery fault diagnosis.
Knowl. Based Syst., 2023
2022
Bearing Fault Diagnosis of Hot-Rolling Mill Utilizing Intelligent Optimized Self-Adaptive Deep Belief Network with Limited Samples.
Sensors, 2022
A multi-source information transfer learning method with subdomain adaptation for cross-domain fault diagnosis.
Knowl. Based Syst., 2022
2021
Multi-scale deep coupling convolutional neural network with heterogeneous sensor data for intelligent fault diagnosis.
J. Intell. Fuzzy Syst., 2021
Discrimination Improvement Through Undesirable Feedback in Coupling Object Manipulation Tasks.
Int. J. Neural Syst., 2021
A Novel Rotating Machinery Fault Diagnosis Method Based on Adaptive Deep Belief Network Structure and Dynamic Learning Rate Under Variable Working Conditions.
IEEE Access, 2021
Feature Extraction Method for Rolling Bear Fault Signal Based on time-Delayed Feedback Asymmetric tristable Stochastic Resonance.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021
2020
Automatic Detection of Epileptic Seizures in EEG Using Sparse CSP and Fisher Linear Discrimination Analysis Algorithm.
J. Medical Syst., 2020
J. Medical Syst., 2020
An Intelligent Fault Diagnosis Method of Variable Condition Gearbox Based on Improved DBN Combined With WPEE and MPE.
IEEE Access, 2020
2019
Improvement Motor Imagery EEG Classification Based on Regularized Linear Discriminant Analysis.
J. Medical Syst., 2019
Signal Detection Based on Second-Order Underdamped Tristable Stochastic Resonance and Its Application to Weak Fault Diagnosis.
IEEE Access, 2019
2014
Nonlinear Torsional Vibration Dynamics Behaviors of Rolling Mill's Multi-DOF Main Drive System under Parametric Excitation.
J. Appl. Math., 2014