Qingkai Han

Orcid: 0000-0003-2559-6114

According to our database1, Qingkai Han authored at least 17 papers between 2006 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Fault Features Uncertainty Quantification With Parameters Uncertainties of Data-Driven Models and Its Application in Rotor Systems Condition Assessment.
IEEE Trans. Instrum. Meas., 2024

2023
Effect of internal excitation induced by non-uniform contact of roller bearings on nonlinear vibration and stability of rotor system under combined loads.
Commun. Nonlinear Sci. Numer. Simul., October, 2023

Fault Diagnosis for Abnormal Wear of Rolling Element Bearing Fusing Oil Debris Monitoring.
Sensors, April, 2023

The Effects Analysis of Contact Stiffness of Double-Row Tapered Roller Bearing under Composite Loads.
Sensors, 2023

Approach to the Quantitative Diagnosis of Rolling Bearings Based on Optimized VMD and Lempel-Ziv Complexity under Varying Conditions.
Sensors, 2023

2022
Improved Time Synchronous Averaging and Its Application in Data-Driven Rotor Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022

Parameter Sensitivity Analysis of Mounting Pedestals and Multi-Objective Optimization for a Multi-Support Rigid Body System.
Sensors, 2022

2021
Nonlinear Characteristic of Clamp Loosing in Aero-Engine Pipeline System.
IEEE Access, 2021

Clamp Nonlinear Modeling and Hysteresis Model Parameter Identification.
IEEE Access, 2021

2020
Dynamic Modelling Considering Nonlinear Factors of Coupled Spur Gear System and Its Experimental Research.
IEEE Access, 2020

Uncertain Frequency Responses of Clamp-Pipeline Systems Using an Interval-Based Method.
IEEE Access, 2020

2019
Remaining Life Prediction Method for Rolling Bearing Based on the Long Short-Term Memory Network.
Neural Process. Lett., 2019

A Fault Diagnosis Model Based on Kernel Auto-encoder and Improved Chaos Firefly Optimization Algorithm.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019

2018
A deep neural network based on kernel function and auto-encoder for bearing fault diagnosis.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018

2017
Reliability assessment of rolling bearing based on principal component analysis and Weibull proportional hazard model.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017

2010
Crack fault identification in rotor shaft with artificial neural network.
Proceedings of the Sixth International Conference on Natural Computation, 2010

2006
Identification of Crack Location and Depth in Rotating Machinery Based on Artificial Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006


  Loading...