Hongyan Dui

ORCID: 0000-0002-2277-6454
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About
Contact & Profiles
Research Areas
  • Reliability and Maintenance Optimization
  • Risk and Safety Analysis
  • Infrastructure Resilience and Vulnerability Analysis
  • Software Reliability and Analysis Research
  • Probabilistic and Robust Engineering Design
  • Life Cycle Costing Analysis
  • Smart Grid Security and Resilience
  • Complex Network Analysis Techniques
  • Fault Detection and Control Systems
  • Statistical Distribution Estimation and Applications
  • Power System Reliability and Maintenance
  • Transportation Planning and Optimization
  • Supply Chain Resilience and Risk Management
  • Occupational Health and Safety Research
  • Machine Fault Diagnosis Techniques
  • Advanced Battery Technologies Research
  • Network Security and Intrusion Detection
  • Water Systems and Optimization
  • Traffic control and management
  • Transportation Systems and Infrastructure
  • Advanced Decision-Making Techniques
  • Evacuation and Crowd Dynamics
  • Digital Transformation in Industry
  • Quality and Supply Management
  • Bayesian Modeling and Causal Inference

Zhengzhou University
2015-2025

Northwestern Polytechnical University
2009-2024

Shanghai Power Equipment Research Institute
2024

China Academy of Launch Vehicle Technology
2024

National University of Defense Technology
2022-2024

Beihang University
2023

Luoyang Institute of Science and Technology
2022

Henan University of Engineering
2022

Importance measures can be used to identify the vulnerable components in an aviation system at early design stage. However, due lack of knowledge or less available information on component system, epistemic uncertainties may one challenging issues importance evaluation. In addition, properties aircraft which are fundamentals measure, including hierarchy, dependency, randomness, and uncertainty, should taken into consideration. To solve these problems, this paper proposes Uncertainty...

10.1016/j.cja.2024.05.024 article EN cc-by-nc-nd Chinese Journal of Aeronautics 2024-05-23

Advanced Internet of Things (IoT) technology has a profound impact on improving the intelligence level intelligent transportation systems (ITS) and promoting sustainable development urban transportation. However, how to use IoT process traffic flow make ITS develop towards automation global control is still challenge. Against this backdrop, prospective controlling model proposed for based enhance awareness roads responsiveness system. When congestion events occur, can provide optimal...

10.1109/jiot.2024.3351908 article EN IEEE Internet of Things Journal 2024-01-09

With the application of Internet Things (IoT), smart charging piles, which are important facilities for new energy electric vehicles (NEVs), have become an part grid. Since piles generally deployed in complex environments and prone to failure, it is significant perform efficient fault diagnosis timely maintenance them. One key problems be solved how conduct prediction based on limited data collected through IoT early stage develop reasonable preventive strategies. In this article, a...

10.1109/jiot.2023.3285206 article EN IEEE Internet of Things Journal 2023-06-12

This paper mainly focuses on the integrated importance measure (IIM) of component states based loss system performance. To describe impact each state, we first introduce performance function multi-state system. Then, present definition IIM states. We demonstrate its corresponding physical meaning, and then analyze relationships between Griffith importance, Wu Natvig importance. Secondly, evaluation method for systems. Thirdly, characteristics are discussed. Finally, a numerical example, an...

10.1109/tr.2011.2182394 article EN IEEE Transactions on Reliability 2012-02-01

Importance measures in reliability engineering are used to identify weak components of a system and signify the roles contributing proper functioning system. Recently, an integrated importance measure (IIM) has been proposed evaluate how transition component states affects performance based on probability distributions rates states. In operation phase, bathtub curve presents change rate with time, which can be described by three different Weibull distributions. The behavior under such...

10.1109/tr.2015.2413031 article EN IEEE Transactions on Reliability 2015-04-06
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