A5034994610- Advanced Battery Technologies Research
- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Machine Fault Diagnosis Techniques
- Power Line Inspection Robots
- Structural Health Monitoring Techniques
- Wind Energy Research and Development
- Infrastructure Maintenance and Monitoring
- High voltage insulation and dielectric phenomena
- Engineering Applied Research
- Thermal Analysis in Power Transmission
- Non-Destructive Testing Techniques
- 3D Surveying and Cultural Heritage
- Magnetic Properties and Applications
- Reliability and Maintenance Optimization
- Fault Detection and Control Systems
- Elevator Systems and Control
- Fire Detection and Safety Systems
- Real-time simulation and control systems
- Vibration Control and Rheological Fluids
- Remote Sensing and LiDAR Applications
- Model Reduction and Neural Networks
- Geotechnical Engineering and Underground Structures
- Electric Motor Design and Analysis
- Advanced Measurement and Detection Methods
Anyang University
2021-2024
Hanyang University
2021-2024
Chung-Ang University
2017-2021
University of Michigan
2013-2016
Korea Electric Power Corporation (South Korea)
2009-2013
Electric Power Research Institute
2009
In this study, a multiphysics-informed neural network (MPINN) is proposed for the estimation and prediction of thermal runaway (TR) in lithium-ion batteries (LIBs). MPINNs are encoded with governing laws physics, including energy balance equation Arrhenius law, ensuring accurate time space-dependent temperature dimensionless concentration comparison to purely data-driven approach. Specifically, trained using data from high-fidelity model an LIB, which describes TR by addressing several...
A new diagnostic method is proposed to efficiently monitor the structural health and detect damages in wind turbine blades. high-resolution real-time blade condition monitoring system that considers harsh operating environment uses optical sensors a wireless network presented. hybrid algorithm, which merges probabilistic analysis, design loads, load estimates, introduced enhance operational safety reliability. Moreover, alarm limits are updated every 10 min through learning algorithm further...
A novel power curve monitoring method for wind turbines was developed to prevent a turbine failure in farm. Compared with the existing methods, this algorithm automatically calculates limits monitoring, even when considerable number of abnormal data are included speed-output measured at turbine. In addition, proposed generates an alarm message speed-power deviate from limits, particularly considering their degree deviation and cases hover between Warning Zones Alarm Zones. We confirmed its...
Fault diagnosis of power transmission systems (PTSs) is crucial for ensuring the reliability grids because most are exposed to harsh environments. For integrity PTSs, this article proposes a nondestructive patrol inspection method that employs smart system (SIS) mounted on an unmanned aerial vehicle (UAV). This overcomes geographical limitations faced in accessing PTSs. The SIS includes ultraviolet camera can detect partial discharges damaged surfaces characterized by three main features....
Abstract With the increasing use of batteries, battery recycling would become a considerable problem in next decade. However, current technologies are still on stage research and development. A significant challenge traditional method is that recovery procedure relies heavily manual work. Therefore, it necessary to develop an intelligent, automatic or semi‐automatic framework for rapid disassembly efficient retired batteries. In this study, key problems during process were identified first....
Previous studies on the diagnosis of natural faults in rolling element bearings have primarily concentrated detecting an increase frequency amplitude across a broad spectrum within measured signal when fault occurs bearing. However, this study introduces adaptive method centered conspicuous distinction between shaft and bearing frequencies as progresses. Specifically, we propose approach leveraging constant reference independent prevailing conditions, it consistently maintains relatively...
This study proposes a high-fidelity model designed to generate vibration data for an electric motor coupled with unbalanced rotor. The predicts response at the structure under rotor fault condition using finite element analysis. First, electromagnetic of permanent magnet synchronous (PMSM) is used compute forces affecting both and stator responses. Second, dynamic responses considering effects. Finally, structural obtained 3D PMSM that integrates inputs. Consequently, combined...
Abstract This study proposes an innovative method for achieving autonomous flight to inspect overhead transmission facilities. The proposed not only integrates multimodal information from novel sensors but also addresses three essential aspects overcome the existing limitations in flights of unmanned aerial vehicle (UAV). First, a deep neural network architecture titled rotational bounding box with multi‐level feature pyramid transformer is introduced accurate object detection. Second, safe...