Mengna Liu

ORCID: 0009-0003-1385-331X
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About
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Research Areas
  • High voltage insulation and dielectric phenomena
  • Vibration and Dynamic Analysis
  • Neural Networks and Applications
  • Advanced Computational Techniques and Applications
  • Geophysics and Sensor Technology
  • Evaluation Methods in Various Fields
  • Spectroscopy and Laser Applications
  • Soil, Finite Element Methods
  • Belt Conveyor Systems Engineering
  • Power Transformer Diagnostics and Insulation
  • Remote Sensing and Land Use
  • Advanced Fiber Optic Sensors
  • Non-Destructive Testing Techniques
  • Power Line Inspection Robots
  • Advanced Computing and Algorithms
  • Metal Forming Simulation Techniques
  • Structural Health Monitoring Techniques
  • Simulation and Modeling Applications
  • Atmospheric Ozone and Climate
  • Wireless Sensor Networks and IoT
  • Atmospheric and Environmental Gas Dynamics
  • Advanced Sensor and Control Systems

State Grid Corporation of China (China)
2024

NARI Group (China)
2024

10.1109/auteee62881.2024.10869752 article EN 2022 IEEE 5th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) 2024-12-27

10.1109/auteee62881.2024.10869749 article EN 2022 IEEE 5th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) 2024-12-27

Abstract The numerical stability of the explicit precise algorithm, which was developed for viscoplastic materials, analyzed. It found that this algorithm is not absolutely stable. A necessary but sufficient condition deduced. showed time step in calculation should be less than a certain value to guarantee algorithm. Through series examples, analysis on proved reliable. At last, an iterative presented materials. Both theoretical and results unconditionally stable its convergence rate rapid....

10.1017/jmech.2016.49 article EN Journal of Mechanics 2016-06-03

Belt conveyor is an important equipment for the transportation of raw materials in ports, wharves and industrial sites. Whether it runs stably directly related to whether whole production process can operate normally, belt deviation most prone type failure conveyor. This paper proposes a Spatio-temporal Transformer (STBT) method based on deep learning Encoder-Decoder network Block. The continuous frame motion images fused with temporal spatial features are input, fusion information global...

10.1049/icp.2023.0148 article EN IET conference proceedings. 2023-02-24
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