Xiaobing Ma

Orcid: 0000-0002-0913-9012

Affiliations:
  • Beihang University, School of Reliability and Systems Engineering, Beijing, China
  • Beihang University, School of Aeronautical Science and Engineering, Beijing, China (PhD 2006)


According to our database1, Xiaobing Ma authored at least 41 papers between 2015 and 2024.

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Bibliography

2024
Condition-based maintenance management for two-stage continuous deterioration with two-dimensional inspection errors.
Qual. Reliab. Eng. Int., November, 2024

System Maintenance Optimization Under Structural Dependency: A Dynamic Grouping Approach.
IEEE Syst. J., September, 2024

A Prognosis-Centered Intelligent Maintenance Optimization Framework Under Uncertain Failure Threshold.
IEEE Trans. Reliab., March, 2024

Hierarchical condition-based maintenance planning for corrosion process considering natural environmental impact.
Reliab. Eng. Syst. Saf., March, 2024

A hybrid inspection-replacement policy for multi-stage degradation considering imperfect inspection with variable probabilities.
Reliab. Eng. Syst. Saf., January, 2024

Group machinery intelligent maintenance: Adaptive health prediction and global dynamic maintenance decision-making.
Reliab. Eng. Syst. Saf., 2024

Intelligent spare ordering and replacement optimisation leveraging adaptive prediction information.
Reliab. Eng. Syst. Saf., 2024

2023
Correlation-driven multivariate degradation modeling and RUL prediction based on Wiener process model.
Qual. Reliab. Eng. Int., December, 2023

Maintenance Optimization of k-Out-of-n Load-Sharing Systems Under Continuous Operation.
IEEE Trans. Syst. Man Cybern. Syst., October, 2023

A State-Age-Dependent Opportunistic Intelligent Maintenance Framework for Wind Turbines Under Dynamic Wind Conditions.
IEEE Trans. Ind. Informatics, October, 2023

A generalized dynamic stress-strength interference model under <i>δ</i>-failure criterion for self-healing protective structure.
Reliab. Eng. Syst. Saf., 2023

Prognosis-driven reliability analysis and replacement policy optimization for two-phase continuous degradation.
Reliab. Eng. Syst. Saf., 2023

Prognostic-information-driven Policy for Joint Spare Parts Ordering and Postponed Replacement Optimization.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2023

2022
Stochastic Multi-phase Modeling and Health Assessment for Systems Based on Degradation Branching Processes.
Reliab. Eng. Syst. Saf., 2022

2021
Remaining Useful Life Prediction Considering Joint Dependency of Degradation Rate and Variation on Time-Varying Operating Conditions.
IEEE Trans. Reliab., 2021

Joint optimization of multi-window maintenance and spare part provisioning policies for production systems.
Reliab. Eng. Syst. Saf., 2021

Remaining Useful Life Prediction and Optimal Maintenance Time Determination for a Single Unit Using Isotonic Regression and Gamma Process Model.
Reliab. Eng. Syst. Saf., 2021

2020
Reliability modeling methods for load-sharing <i>k</i>-out-of-<i>n</i> system subject to discrete external load.
Reliab. Eng. Syst. Saf., 2020

A novel degradation-rate-volatility related effect Wiener process model with its extension to accelerated ageing data analysis.
Reliab. Eng. Syst. Saf., 2020

Dynamic maintenance strategy with iteratively updated group information.
Reliab. Eng. Syst. Saf., 2020

2019
A new reliability analysis method for load-sharing <i>k</i>-out-of-<i>n</i>: F system based on load-strength model.
Reliab. Eng. Syst. Saf., 2019

A novel pseudo-maximum likelihood estimation method for accelerated degradation tests under Wiener process.
Qual. Reliab. Eng. Int., 2019

2018
Hybrid preventive maintenance of competing failures under random environment.
Reliab. Eng. Syst. Saf., 2018

Aircraft reliability assessment for an individual mission based on recordable flight parameters.
Qual. Reliab. Eng. Int., 2018

Multi-level maintenance strategy of deteriorating systems subject to two-stage inspection.
Comput. Ind. Eng., 2018

Remaining Useful Life Prediction Using a Novel Two-Stage Wiener Process With Stage Correlation.
IEEE Access, 2018

Mechanism Equivalence in Designing Optimum Step-Stress Accelerated Degradation Test Plan Under Wiener Process.
IEEE Access, 2018

An Extended Model for Fatigue Life Prediction and Acceleration Considering Load Frequency Effect.
IEEE Access, 2018

Time-dependent Reliability Modelling Method Based on Load-strength Model in the Presence of Environmental Effects.
Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018

A Multi-objective Framework for Designing Accelerated Degradation Tests Under Wiener Process Model.
Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018

2017
A Stress-Strength Time-Varying Correlation Interference Model for Structural Reliability Analysis Using Copulas.
IEEE Trans. Reliab., 2017

A preventive maintenance policy based on dependent two-stage deterioration and external shocks.
Reliab. Eng. Syst. Saf., 2017

Optimal design of constant-stress accelerated degradation tests using the M-optimality criterion.
Reliab. Eng. Syst. Saf., 2017

An inspection model for a multi-component system subject to 2 types of failures.
Qual. Reliab. Eng. Int., 2017

Equivalence analysis of accelerated degradation mechanism based on stochastic degradation models.
Qual. Reliab. Eng. Int., 2017

A Generalized Wiener Process Degradation Model with Two Transformed Time Scales.
Qual. Reliab. Eng. Int., 2017

A condition-based maintenance model for a three-state system subject to degradation and environmental shocks.
Comput. Ind. Eng., 2017

Reliability Demonstration for Long-Life Products Based on Hardened Testing Method and Gamma Process.
IEEE Access, 2017

2016
A delay time model for a mission-based system subject to periodic and random inspection and postponed replacement.
Reliab. Eng. Syst. Saf., 2016

Degradation-shock-based Reliability Models for Fault-tolerant Systems.
Qual. Reliab. Eng. Int., 2016

2015
An Adjustment to the Bartlett's Test for Small Sample Size.
Commun. Stat. Simul. Comput., 2015


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