Peiming Shi

Orcid: 0000-0001-6061-7748

Affiliations:
  • Yanshan University, Qinhuangdao, Hebei, China


According to our database1, Peiming Shi authored at least 18 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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

Intentions Recognition of EEG Signals with High Arousal Degree for Complex Task.
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


  Loading...