Tangfan Xiahou

Orcid: 0000-0001-7359-1129

Affiliations:
  • University of Electronic Science and Technology of China, Chengdu, Sichuan, China


According to our database1, Tangfan Xiahou authored at least 27 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Importance Measure for Multilevel Inspections of Multistate Systems: A Value of Information Perspective.
IEEE Trans. Reliab., June, 2024

An End-to-End Bilateral Network for Multidefect Detection of Solid Propellants.
IEEE Trans. Ind. Informatics, June, 2024

Bayesian Dual-Input-Channel LSTM-Based Prognostics: Toward Uncertainty Quantification Under Varying Future Operations.
IEEE Trans. Reliab., March, 2024

Reinforcement learning in reliability and maintenance optimization: A tutorial.
Reliab. Eng. Syst. Saf., 2024

Convolutional preprocessing Transformer-based fault diagnosis for rectifier-filter circuits in nuclear power plants.
Reliab. Eng. Syst. Saf., 2024

A random-effect Wiener process degradation model with transmuted normal distribution and ABC-Gibbs algorithm for parameter estimation.
Reliab. Eng. Syst. Saf., 2024

Merging multi-level evidential observations for dynamic reliability assessment of hierarchical multi-state systems: A dynamic Bayesian network approach.
Reliab. Eng. Syst. Saf., 2024

2023
Health status assessment of radar systems at aerospace launch sites by fuzzy analytic hierarchy process.
Qual. Reliab. Eng. Int., December, 2023

An improved probabilistic spiking neural network with enhanced discriminative ability.
Knowl. Based Syst., November, 2023

Integrated selective maintenance and task assignment optimization for multi-state systems executing multiple missions.
Reliab. Eng. Syst. Saf., September, 2023

A heuristic maintenance scheduling framework for a military aircraft fleet under limited maintenance capacities.
Reliab. Eng. Syst. Saf., July, 2023

An evidential network approach to reliability assessment by aggregating system-level imprecise knowledge.
Qual. Reliab. Eng. Int., July, 2023

Mission performance analysis of phased-mission systems with cross-phase competing failures.
Reliab. Eng. Syst. Saf., June, 2023

Reliability modeling of modular <i>k</i>-out-of-<i>n</i> systems with functional dependency: A case study of radar transmitter systems.
Reliab. Eng. Syst. Saf., May, 2023

Fusing Conflicting Multisource Imprecise Information for Reliability Assessment of Multistate Systems: A Two-Stage Optimization Approach.
IEEE Trans. Reliab., March, 2023

2022
A Novel FMEA-Based Approach to Risk Analysis of Product Design Using Extended Choquet Integral.
IEEE Trans. Reliab., 2022

Measuring Conflicts of Multisource Imprecise Information in Multistate System Reliability Assessment.
IEEE Trans. Reliab., 2022

A Deep Reinforcement Learning Approach to Dynamic Loading Strategy of Repairable Multistate Systems.
IEEE Trans. Reliab., 2022

An Adaptive Deep Learning Framework for Fast Recognition of Integrated Circuit Markings.
IEEE Trans. Ind. Informatics, 2022

A multi-layer spiking neural network-based approach to bearing fault diagnosis.
Reliab. Eng. Syst. Saf., 2022

2021
Remaining Useful Life Prediction by Fusing Expert Knowledge and Condition Monitoring Information.
IEEE Trans. Ind. Informatics, 2021

Structure function learning of hierarchical multi-state systems with incomplete observation sequences.
Reliab. Eng. Syst. Saf., 2021

Multi-objective optimization-based TOPSIS method for sustainable product design under epistemic uncertainty.
Appl. Soft Comput., 2021

2020
Optimization of Multilevel Inspection Strategy for Nonrepairable Multistate Systems.
IEEE Trans. Reliab., 2020

A new resilience-based component importance measure for multi-state networks.
Reliab. Eng. Syst. Saf., 2020

Reliability bounds for multi-state systems by fusing multiple sources of imprecise information.
IISE Trans., 2020

2019
Reliability assessment of systems subject to interval-valued probabilistic common cause failure by evidential networks.
J. Intell. Fuzzy Syst., 2019


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