Jinhua Mi
Orcid: 0000-0002-5488-4783
According to our database1,
Jinhua Mi
authored at least 25 papers
between 2009 and 2023.
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Bibliography
2023
AGP-MCS+D: An active learning reliability analysis method combining dependent Gaussian process and Monte Carlo simulation.
Reliab. Eng. Syst. Saf., December, 2023
A Synthetic Feature Processing Method for Remaining Useful Life Prediction of Rolling Bearings.
IEEE Trans. Reliab., March, 2023
Incipient Fault Detection with Feature Ensemble Based on One-Class Machine Learning Methods.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
An evidential network-based hierarchical method for system reliability analysis with common cause failures and mixed uncertainties.
Reliab. Eng. Syst. Saf., 2022
Reliability analysis of systems with mixed uncertainties based on Bhattacharyya distance and Bayesian network.
Qual. Reliab. Eng. Int., 2022
Application of dynamic evidential networks in reliability analysis of complex systems with epistemic uncertainty and multiple life distributions.
Ann. Oper. Res., 2022
Reliability analysis of multi-state systems with common cause failures based on Bayesian network and fuzzy probability.
Ann. Oper. Res., 2022
2021
Reliability assessment for failure-dependent and uncertain systems: A Bayesian network based on copula method and probability-box.
Qual. Reliab. Eng. Int., 2021
2020
A dependency bounds analysis method for reliability assessment of complex system with hybrid uncertainty.
Reliab. Eng. Syst. Saf., 2020
Reliability and importance analysis of uncertain system with common cause failures based on survival signature.
Reliab. Eng. Syst. Saf., 2020
Reliability assessment for systems suffering common cause failure based on Bayesian networks and proportional hazards model.
Qual. Reliab. Eng. Int., 2020
2019
Quality characteristics prediction of complex mechatronics system based on symbolic dynamics and gray model.
Trans. Inst. Meas. Control, 2019
Application of discrete-time Bayesian network on reliability analysis of uncertain system with common cause failure.
Qual. Reliab. Eng. Int., 2019
Quantification of Complex Defects in Magnetic Flux Leakage (MFL) Testing Using Gradient Gray Level Analysis Based on Least Square Approximation.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019
2018
Reliab. Eng. Syst. Saf., 2018
Reliability analysis of complex multi-state system with common cause failure based on evidential networks.
Reliab. Eng. Syst. Saf., 2018
Fault diagnosis method based on supervised particle swarm optimization classification algorithm.
Intell. Data Anal., 2018
Physics of failure-based reliability prediction of turbine blades using multi-source information fusion.
Appl. Soft Comput., 2018
2017
Bayesian Degradation Analysis With Inverse Gaussian Process Models Under Time-Varying Degradation Rates.
IEEE Trans. Reliab., 2017
2016
Reliability of complex systems under dynamic conditions: A Bayesian multivariate degradation perspective.
Reliab. Eng. Syst. Saf., 2016
Reliability assessment of complex electromechanical systems under epistemic uncertainty.
Reliab. Eng. Syst. Saf., 2016
2015
Leveraging Degradation Testing and Condition Monitoring for Field Reliability Analysis With Time-Varying Operating Missions.
IEEE Trans. Reliab., 2015
Belief Universal Generating Function Analysis of Multi-State Systems Under Epistemic Uncertainty and Common Cause Failures.
IEEE Trans. Reliab., 2015
2009
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2009