- Lightning and Electromagnetic Phenomena
- Earthquake Detection and Analysis
- Seismology and Earthquake Studies
- Seismic Waves and Analysis
- Fire effects on ecosystems
- Advanced Decision-Making Techniques
- Image and Signal Denoising Methods
- Thermal Analysis in Power Transmission
- Fire Detection and Safety Systems
- Blind Source Separation Techniques
- Plant Water Relations and Carbon Dynamics
- High voltage insulation and dielectric phenomena
- Underwater Vehicles and Communication Systems
- Advanced Photonic Communication Systems
- Knowledge Management and Technology
- Radio Wave Propagation Studies
- Ionosphere and magnetosphere dynamics
- Underwater Acoustics Research
- Advanced Optical Sensing Technologies
- Evaluation Methods in Various Fields
- Pulsed Power Technology Applications
- ECG Monitoring and Analysis
- Electromagnetic Simulation and Numerical Methods
- Domain Adaptation and Few-Shot Learning
- Advanced Image Processing Techniques
Hangzhou Institute of Applied Acoustics
2019-2024
Institute of Electrical Engineering
2018-2024
Chinese Academy of Sciences
2018-2024
University of Chinese Academy of Sciences
2021-2023
Chinese Academy of Engineering
2021
China Meteorological Administration
2009-2013
National Space Science Center
2008
Hunan University
2008
Zhejiang University
2006
Lightning waveform plays an important role in lightning observation, location, and disaster investigation. Based on a large amount of data provided by existing real-time very low frequency/low frequency (VLF/LF) acquisition equipment, automatic accurate classification method becomes extremely important. With the widespread application deep learning image speech recognition, it possible to use classify waveforms. In this study, 50,000 samples were collected. The was divided into following...
Abstract The propagation characteristics of lightning electromagnetic fields(EMFs) in different terrains are great significance for research on disaster protection and location. In this paper, we establish a simplified model mountainous terrain apply the CPML absorption boundary condition to simulate EMFs at observation points along path using FDTD method. Through calculations, study impact height width mountain both above below ground. We conducted an investigation into waveforms observed...
Ultra-long-distance and high-precision lightning location technology is an important means to realize low-cost wide-area detection. This paper carried out research on the of very-low-frequency (VLF) electromagnetic pulse based Asia-Pacific Lightning Location Network (APLLN) deployed in 2018. Two key technologies are proposed this paper: one calculation method signal arrival time using waveform, other compression transmission waveform a principal component analysis. The results comparison...
The Asia-Pacific Lightning Location Network (APLLN) is a lightning location system consisting of series very low-frequency signal detection sites. Since 2018, 16 sites have been deployed with an average baseline longer than 1000 km. site used trigger sampling method to record the duration 2 ms and calculates arrival time based on digital filtering Hilbert envelope method. APLLN difference algorithm improved Levenberg–Marquardt non-linear least squares iterative calculate optimize results....
The perfectly matched layer absorbing boundary condition based on coordinate scaling transformation (CPML) has a good absorption effect in finite-difference time-domain method (FDTD) calculation. In this study, we derive the CPML update equations 2-D cylindrical system by setting an appropriate coordinate-stretching variable, which can more easily achieve and obtain results calculation of lightning electromagnetic field. Then, propagation characteristics return stroke radiation field...
Advances in technology have facilitated the development of lightning research and data processing. The electromagnetic pulse signals emitted by (LEMP) can be collected very low frequency (VLF)/low (LF) instruments real time. storage transmission obtained is a crucial link, good compression method improve efficiency this process. In paper, convolutional stack autoencoder (LCSAE) model for compressing LEMP was designed, which converts into low-dimensional feature vectors through encoder part...
Abstract Hai‐Nan Lightning Detection Network (HNLDN) is composed of seven sites that accept very low frequency/low frequency (VLF/LF) signals. A total are evenly distributed on Island. The baseline distance between 50 and 150 km, which about five times longer than in typical short‐baseline VLF/LF imaging networks. Each detection station uses zero‐phase digital filtering to avoid the phase deviation caused by filtering. HNLDN an improved peak search method increase number detected lightning...
Deep neural networks are the go to algorithm when it comes image classification [1-5]. This is partly because they can have arbitrarily large number of trainable parameters. However, this at a cost requiring amount data, which sometimes not available. In field underwater acoustic object discrimination, data scarce, no public dataset be used for training, and only collected by sea trials. order mitigate such an issue, we choose few-shot learning with Siamese method. special type network...
We here report our observations of the intense lightning events during ~15:00, 23 September to ~12:00, 24 2008 along fault Wenchuan-Beichuan counties in Sichuan Province, China where a 8.0 magnitude earthquake strike on May 12th, 2008. This period had highest density all available monitoring data Sichuan. The altered pattern is unlikely be coincidence. also found that spatial-temporal characteristic has changed after earthquake. studied correlations and analyze between order understand...
This paper presents a two-dimensional axisymmetric finite element model of the Tesla transformer established using method, and its accuracy is validated. Based on this, we first conduct electric field simulation analysis transformer's interior for different inner-to-outer diameter ratios optimize internal structure according to results. Subsequently, analyze influence secondary winding turns inductance coupling coefficient. Finally, consider B-H curve magnetic core calculate effects...