Resource Type

Journal Article 6

Year

2022 1

2021 1

2020 1

2011 1

2009 1

2003 1

Keywords

Data completeness 1

EngineeringAchievements 1

High-frequency data 1

LFO 1

Low-frequency data 1

SLF/ELF electromagnetic waves 1

State estimation 1

Super resolution perception 1

bifurcation theory 1

earthquake monitoring 1

earthquake predication 1

electromagnetic anomaly 1

nonlinear 1

resistivity 1

resource exploration 1

singularity 1

wireless electro-magnetic method（WEM） 1

open ︾

Search scope:

排序： Display mode:

Monitoring & Analysis of Earthquake phenomena by Artificial SLF Waves

Zhao Guoze,Lu Jianxun

Strategic Study of CAE 2003, Volume 5, Issue 10,   Pages 27-33

Abstract:

Electromagnetic waves in SLF (super low frequency) frequency band can be transmitted by powered generator using geophysical theory combined with radio-physical theory. The artificial signals can be measured in a quite large area on earth surface for investigation of the space electromagnetic field and crust conductivity structure. The method is a useful tool to study electromagnetic anomaly caused by earthquake and to probe the subsurface resources. The experiment study in Beijing and Tianjin indicated that power spectrum density of SLF signal is bigger than those of natural electromagnetic signal by several times even in the industry noisy area. The apparent resistivity obtained by SLF method has much smaller error bar than those by natural signal and is less influenced by disturbance. An earthquake (M=4.2) occurred near observation site during SLF measurements and coherency between earthquake phenomena and the anomaly of electromagnetic field and apparent resistivity was appeared. It is postulated that the anomaly of electric and magnetic fields and the variation of apparent resistivity were generated due to interaction between regional stress and local electromagnetic source.

Keywords： SLF/ELF electromagnetic waves     electromagnetic anomaly     resistivity     earthquake monitoring    

HTML PDF Collect

The nonlinear singularity phenomenon of low frequency oscillation in power system

Ma Jinglan,Wang Wei,Wan Jingsheng,Zhang Yongli

Strategic Study of CAE 2009, Volume 11, Issue 8,   Pages 93-96

Abstract:

LFO (Low Frequency Oscillation) is a main aspect that affects power system stability. In this paper, the inherent reason that causes LFO is discussed.With Hopf bifurcation theory, it is analyzed that the nonlinear singularity phenomenon happens close to the critical points in a single-infinite power system of four-rank model. The study indicates that because of the Hopf bifurcation, singularity phenomenon in the power system happens close to the critical points, which affects the steady bound.

Keywords： LFO     bifurcation theory     nonlinear     singularity    

HTML PDF Collect

A data-driven method for estimating the target position of low-frequency sound sources in shallow seas Research Articles

Xianbin Sun, Xinming Jia, Yi Zheng, Zhen Wang,robin_sun@qut.edu.cn,jiaxinming_123@163.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 7,   Pages 1020-1030 doi: 10.1631/FITEE.2000181

Abstract: Estimating the target position of low-frequency sound sources in a environment is difficult due to the high cost of hydrophone placement and the complexity of the propagation model. We propose a compressed (C-RNN) model that compresses the signal received by a into a dynamic sound intensity signal and compresses the target position of the sound source into a GeoHash code. Two types of data are used to carry out prior training on the , and the trained network is subsequently used to estimate the target position of the sound source. Compared with traditional mathematical models, the C-RNN model functions independently under the complex sound field environment and terrain conditions, and allows for real-time positioning of the sound source under low-parameter operating conditions. Experimental results show that the average error of the model is 56 m for estimating the target position of a low-frequency sound source in a environment.

Keywords： 矢量水听器；浅海；低频；位置估计；循环神经网络    

HTML PDF Collect

The Extremely Low Frequency Engineering Project for Underground Exploration

Jianxun Lu,Xianjun Zhuo,Yong Liu,Guoze Zhao,Qingyun Di,

Engineering 2022, Volume 10, Issue 3,   Pages 13-20 doi: 10.1016/j.eng.2021.12.003

Keywords： EngineeringAchievements    

HTML PDF Collect

The extremely low frequency engineering project using WEM for underground exploration

Zhuo Xianjun,Lu Jianxun,Zhao Guoze,Di Qingyun

Strategic Study of CAE 2011, Volume 13, Issue 9,   Pages 42-50

Abstract:

The ELF (extremely low frequency) engineering project for underground exploration is one of the major national science and technology infrastructure projects approved by Chinese government,which will apply to resource exploration, earthquake predication and other frontier sciences. The background, construction content, key technology and test results are introduced. On the basis of which, the application prospect of the project are expected.

Keywords： wireless electro-magnetic method（WEM）     resource exploration     earthquake predication    

HTML PDF Collect

Super Resolution Perception for Improving Data Completeness in Smart Grid State Estimation Article

Gaoqi Liang, Guolong Liu, Junhua Zhao, Yanli Liu, Jinjin Gu, Guangzhong Sun, Zhaoyang Dong

Engineering 2020, Volume 6, Issue 7,   Pages 789-800 doi: 10.1016/j.eng.2020.06.006

Abstract:

The smart grid is an evolving critical infrastructure, which combines renewable energy and the most advanced information and communication technologies to provide more economic and secure power supply services. To cope with the intermittency of ever-increasing renewable energy and ensure the security of the smart grid, state estimation, which serves as a basic tool for understanding the true states of a smart grid, should be performed with high frequency. More complete system state data are needed to support high-frequency state estimation. The data completeness problem for smart grid state estimation is therefore studied in this paper. The problem of improving data completeness by recovering high-frequency data from low-frequency data is formulated as a super resolution perception (SRP) problem in this paper. A novel machine-learning-based SRP approach is thereafter proposed. The proposed method, namely the Super Resolution Perception Net for State Estimation (SRPNSE), consists of three steps: feature extraction, information completion, and data reconstruction. Case studies have demonstrated the effectiveness and value of the proposed SRPNSE approach in recovering high-frequency data from low-frequency data for the state estimation.

Keywords： State estimation     Low-frequency data     High-frequency data     Super resolution perception     Data completeness    

HTML PDF Collect

Title Author Date Type Operation

Monitoring & Analysis of Earthquake phenomena by Artificial SLF Waves

Zhao Guoze,Lu Jianxun

Journal Article

The nonlinear singularity phenomenon of low frequency oscillation in power system

Ma Jinglan,Wang Wei,Wan Jingsheng,Zhang Yongli

Journal Article

A data-driven method for estimating the target position of low-frequency sound sources in shallow seas

Xianbin Sun, Xinming Jia, Yi Zheng, Zhen Wang,robin_sun@qut.edu.cn,jiaxinming_123@163.com

Journal Article

The Extremely Low Frequency Engineering Project for Underground Exploration

Jianxun Lu,Xianjun Zhuo,Yong Liu,Guoze Zhao,Qingyun Di,

Journal Article

The extremely low frequency engineering project using WEM for underground exploration

Zhuo Xianjun,Lu Jianxun,Zhao Guoze,Di Qingyun

Journal Article

Super Resolution Perception for Improving Data Completeness in Smart Grid State Estimation

Gaoqi Liang, Guolong Liu, Junhua Zhao, Yanli Liu, Jinjin Gu, Guangzhong Sun, Zhaoyang Dong

Journal Article