Characteristic analysis of transient electromagnetic disturbance data is very important. In this paper, the time-domain and frequency-domain characteristics of transient electromagnetic disturbance caused by switching...Characteristic analysis of transient electromagnetic disturbance data is very important. In this paper, the time-domain and frequency-domain characteristics of transient electromagnetic disturbance caused by switching operations in substations are analyzed. Two methods are adopted in time-domain analysis. One method is histogram and the other one is normality test. An appropriate procedure for the normality test is proposed. Furthermore, the method used in frequency- domain analysis is to obtain overall envelope. These statistical characteristic analysis methods are showed to be of great value in analyses of the measured samples. The simulation results showed that these methods are effective.展开更多
We develop a new computational method for modeling and inverting frequency domain airborne electromagnetic(EM)data.Our method is based on the contraction integral equation method for forward EM modeling and on inversi...We develop a new computational method for modeling and inverting frequency domain airborne electromagnetic(EM)data.Our method is based on the contraction integral equation method for forward EM modeling and on inversion using the localized quasi-linear(LQL)approximation followed by the rigorous inversion,if necessary.The LQL inversion serves to provide a fast image of the target.These results are checked by a rigorous update of the domain electric field,allowing a more accurate calculation of the predicted data.If the accuracy is poorer than desired,rigorous inversion follows,using the resulting conductivity distribution and electric field from LQL as a starting model.The rigorous inversion iteratively solves the field and domain equations,converting the non-linear inversion into a series of linear inversions.We test this method on synthetic and field data.The results of the inversion are very encouraging with respect to both the speed and the accuracy of the algorithm,showing this is a useful tool for airborne EM interpretation.展开更多
文摘Characteristic analysis of transient electromagnetic disturbance data is very important. In this paper, the time-domain and frequency-domain characteristics of transient electromagnetic disturbance caused by switching operations in substations are analyzed. Two methods are adopted in time-domain analysis. One method is histogram and the other one is normality test. An appropriate procedure for the normality test is proposed. Furthermore, the method used in frequency- domain analysis is to obtain overall envelope. These statistical characteristic analysis methods are showed to be of great value in analyses of the measured samples. The simulation results showed that these methods are effective.
文摘We develop a new computational method for modeling and inverting frequency domain airborne electromagnetic(EM)data.Our method is based on the contraction integral equation method for forward EM modeling and on inversion using the localized quasi-linear(LQL)approximation followed by the rigorous inversion,if necessary.The LQL inversion serves to provide a fast image of the target.These results are checked by a rigorous update of the domain electric field,allowing a more accurate calculation of the predicted data.If the accuracy is poorer than desired,rigorous inversion follows,using the resulting conductivity distribution and electric field from LQL as a starting model.The rigorous inversion iteratively solves the field and domain equations,converting the non-linear inversion into a series of linear inversions.We test this method on synthetic and field data.The results of the inversion are very encouraging with respect to both the speed and the accuracy of the algorithm,showing this is a useful tool for airborne EM interpretation.
