The accurate fault-cause identification for overhead transmission lines supports the operation and maintenance personnel in formulating targeted maintenance strategies and shortening the time of inspecting faulty line...The accurate fault-cause identification for overhead transmission lines supports the operation and maintenance personnel in formulating targeted maintenance strategies and shortening the time of inspecting faulty lines.With the goal of achieving“carbon peak and carbon neutrality”,the schemes for clean energy generation have rapidly developed.Moreover,new energy-consuming equipment has been widely connected to the power grid,and the operating characteristics of the power system have significantly changed.Consequently,these have impacted traditional fault identification methods.Based on the time-frequency characteristics of the fault waveform,new energy-related parameters,and deep learning model,this study proposes a fault identification method suitable for scenarios where a high proportion of new energy is connected to the power grid.Ten parameters related to the causes of transmission line fault and new energy connection scenarios are selected as model characteristic parameters.Further,a fault identification model based on adaptive deep belief networks was constructed,and its effect was verified by field data.展开更多
Based on the latest achievement about activities of geological structure, a 3-D finite-element model containing four layers of upper crust, lower crust (two layers) and upper mantle is established in the paper. By rep...Based on the latest achievement about activities of geological structure, a 3-D finite-element model containing four layers of upper crust, lower crust (two layers) and upper mantle is established in the paper. By repeated tests and revisions, the boundary conditions of the model are determined. And then the background stress field, the stress field caused by fault creep and the stress field triggered by strong earthquake in Sichuan-Yunnan region, as well as their dynamic variations are calculated. The results indicate that the latter earthquake often occurs in the area with positive Coulomb rupture stress change associated with the former one, the former earthquake has a triggering effect on the latter one to a certain extent, and strong earthquake often occur in groups under the background of high stress, which is of great significance for distinguishing seismic anomalies, as well as for improving the level of earthquake prediction.展开更多
Observational results of underground water regime (water level and flow) in some strong earthquakes and moderate earthquakes (in this paper we also call them by 'strong earthquakes')in Chinese mainland are stu...Observational results of underground water regime (water level and flow) in some strong earthquakes and moderate earthquakes (in this paper we also call them by 'strong earthquakes')in Chinese mainland are studied and the following conclusions are obtained. For one strong earthquake, the spatial distributions of the anomalies which include medium term anomalies of one year scale, short term anomalies and imminent anomalies, and underground water stations without the anomalies were mainly related to the causative mechanism and active master faults (active abyssal faults or strongly active faults) around the focal region; The spatial distribution of the anomalies coincided with the specific relation among the anomalies, the focal site, the causative mechanism and active master faults. Finally, the mechanism of the relation was briefly discussed, and the importance about the research result in this paper was set forth.展开更多
基金This work was supported by State Grid Science and Technology Project(B3440821K003).
文摘The accurate fault-cause identification for overhead transmission lines supports the operation and maintenance personnel in formulating targeted maintenance strategies and shortening the time of inspecting faulty lines.With the goal of achieving“carbon peak and carbon neutrality”,the schemes for clean energy generation have rapidly developed.Moreover,new energy-consuming equipment has been widely connected to the power grid,and the operating characteristics of the power system have significantly changed.Consequently,these have impacted traditional fault identification methods.Based on the time-frequency characteristics of the fault waveform,new energy-related parameters,and deep learning model,this study proposes a fault identification method suitable for scenarios where a high proportion of new energy is connected to the power grid.Ten parameters related to the causes of transmission line fault and new energy connection scenarios are selected as model characteristic parameters.Further,a fault identification model based on adaptive deep belief networks was constructed,and its effect was verified by field data.
文摘Based on the latest achievement about activities of geological structure, a 3-D finite-element model containing four layers of upper crust, lower crust (two layers) and upper mantle is established in the paper. By repeated tests and revisions, the boundary conditions of the model are determined. And then the background stress field, the stress field caused by fault creep and the stress field triggered by strong earthquake in Sichuan-Yunnan region, as well as their dynamic variations are calculated. The results indicate that the latter earthquake often occurs in the area with positive Coulomb rupture stress change associated with the former one, the former earthquake has a triggering effect on the latter one to a certain extent, and strong earthquake often occur in groups under the background of high stress, which is of great significance for distinguishing seismic anomalies, as well as for improving the level of earthquake prediction.
文摘Observational results of underground water regime (water level and flow) in some strong earthquakes and moderate earthquakes (in this paper we also call them by 'strong earthquakes')in Chinese mainland are studied and the following conclusions are obtained. For one strong earthquake, the spatial distributions of the anomalies which include medium term anomalies of one year scale, short term anomalies and imminent anomalies, and underground water stations without the anomalies were mainly related to the causative mechanism and active master faults (active abyssal faults or strongly active faults) around the focal region; The spatial distribution of the anomalies coincided with the specific relation among the anomalies, the focal site, the causative mechanism and active master faults. Finally, the mechanism of the relation was briefly discussed, and the importance about the research result in this paper was set forth.
