A5083381183- Complex Network Analysis Techniques
- Microgrid Control and Optimization
- Infrastructure Resilience and Vulnerability Analysis
- Smart Grid Energy Management
- Opinion Dynamics and Social Influence
- Machine Fault Diagnosis Techniques
- Reliability and Maintenance Optimization
- Optimal Power Flow Distribution
- Fault Detection and Control Systems
- Supply Chain Resilience and Risk Management
- Network Security and Intrusion Detection
- Hybrid Renewable Energy Systems
- Infrastructure Maintenance and Monitoring
- Advanced Battery Technologies Research
- Electric Vehicles and Infrastructure
- Smart Grid Security and Resilience
- Neural Networks and Applications
- Concrete Corrosion and Durability
- Structural Health Monitoring Techniques
- Machine Learning and Data Classification
- Software System Performance and Reliability
- Probabilistic and Robust Engineering Design
- Software Reliability and Analysis Research
- Advanced Neuroimaging Techniques and Applications
- Power System Reliability and Maintenance
Nanjing University of Science and Technology
2020-2025
Craft Group (China)
2024
Bridge University
2024
University Research Co (United States)
2024
Kashi University
2024
Qingdao University of Technology
2021-2023
Rutgers, The State University of New Jersey
2017-2023
China Medical University
2022
First Hospital of China Medical University
2022
Tianjin Medical University General Hospital
2020
Abstract Accurately predicting the remaining useful life (RUL) of aircraft engines is crucial for maintaining financial stability and aviation safety. To further enhance prediction accuracy engine RUL, a deep learning-based RUL method proposed. This possesses potential to strengthen recognition data features, thereby improving model. First, input features are normalized CMAPSS (Commercial Modular Aero-Propulsion System Simulation) dataset utilized calculate engines. After extracting...
ABSTRACT The degradation of concrete structures is a significant issue in the United States, with corrosion steel reinforcement being primary contributor. Cracks intensify process by allowing easier access for chloride ions from deicing salts, adversely affecting lifespan structures. This study examines rates four types bars (rebars) through laboratory‐based accelerated tests. To closely simulate conditions encountered bridges, rebars were embedded pre‐cracked specimens and exposed to...
Network resource reallocatioN strategy based oN aN improved capacity-load model strategia realokacji zasobów sieciowych oparta o udoskoNaloNy przepustowości-obciążeNiaNetwork reallocation is a common way to help restore performance of network systems subject cascading failures.Majority current allocation strategies either give little regard or make impractical assumptions about the relationship between capacity and load nodes, despite this closely related propagation failures.In work we...
Abstract Microgrid has attracted more and attention to provide backup power for customers in the case of grid outages. expansion planning is significant handle increasing customer demand enhance resilience. Current research about long‐term microgrid rarely if ever considered uncertainties associated with energy storage generation units, example, battery cycle degradation. These factors have important influence on performance reality. In this paper, a model multiple resource presented. Deep...
As real network systems are becoming ever more complex and widely-used, failures often bring about devastating effects on our personal professional lives. Therefore, failure regularity reliability issues of real-world networks primary concerns for science researchers. In many networks, cascading not only caused by dynamical redistribution loads. Dependency relations among nodes could also increase the spread failures, even markedly impact process failures. However, most existent models used...
<title>Abstract</title> Predicting an aircraft engine's remaining life with accuracy is crucial for maintaining both financial stability and aviation safety. The capacity to analyze spatiotemporal data enhances machine RUL's predictive performance. Nevertheless, the majority of information processing models now in use lack ability extract adaptive features addition having complicated topologies. In light this, paper suggests a deep learning-based approach forecast life. This method has...