In this paper, a modified transient finite element (FE) algorithm for the performance analysis of magnetically levitated vehicles of electromagnetic type is presented. The algorithm incorporates the external power sys...In this paper, a modified transient finite element (FE) algorithm for the performance analysis of magnetically levitated vehicles of electromagnetic type is presented. The algorithm incorporates the external power system and vehicle’s movement equations into FE model of transient magnetic field computation directly. Sliding interface between stationary and moving region is used during the transient analysis. The periodic boundaries are implemented in an easy way to reduce the computation scale. It is proved that this method can be used for both electro-motional static and dynamic cases. The test of a transformer and an EMS-Maglev system reveals that the method generates reasonable results at very low computational costs comparing with the transient FE analysis.展开更多
[Objective] The aim was to explore technology on processing feces in duck farms at scale, providing guiding method for effective control of environmental issues in breeding farms. [Methed] Bio-safety disposal and reco...[Objective] The aim was to explore technology on processing feces in duck farms at scale, providing guiding method for effective control of environmental issues in breeding farms. [Methed] Bio-safety disposal and recovering processing of excrements in a duck farm were researched based on technology of configuration, detection, digestion, EM and poultry breeding. [Result] The integrated application technology is quite simple and the cost is not high. During breeding period, excellent organic fertilizers and high-protein forages could be obtained without any antibiotics. Furthermore, secondary wastes and pollution would not occur. In addition, ammonia was lower in excrements processed with earthworm and air pollution was reduced; the produced humus provided organic fertilizers and improved barren soils. [Conclusion] The research provides references of multi-technology integration for related industries.展开更多
The alternating electromagnetic(EM) field is one of the most sensitive physical fields related to earthquakes. There have been a number of publications reporting EM anomalies associated with earthquakes. With increasi...The alternating electromagnetic(EM) field is one of the most sensitive physical fields related to earthquakes. There have been a number of publications reporting EM anomalies associated with earthquakes. With increasing applications and research of artificial-source extremely low frequency EM and satellite EM technologies in earthquake studies, the amount of observed data from the alternating EM method increases rapidly and exponentially, so it is imperative to develop suitable and effective methods for processing and analyzing the influx of big data. This paper presents research on the self-adaptive filter and wavelet techniques and their applications to analyzing EM data obtained from ground measurements and satellite observations, respectively. Analysis results show that the self-adaptive filter method can identify both natural- and artificial-source EM signals, and enhance the ratio between signal and noise of EM field spectra, apparent resistivity, and others. The wavelet analysis is capable of detecting possible correlation between EM anomalies and seismic events. These techniques are effective in processing and analyzing massive data obtained from EM observations.展开更多
基金Project supported by the National Natural Science Foundation of China (No. 50477030) the Natural Science Foundation of Zheji-ang Province (No. Y105351), China
文摘In this paper, a modified transient finite element (FE) algorithm for the performance analysis of magnetically levitated vehicles of electromagnetic type is presented. The algorithm incorporates the external power system and vehicle’s movement equations into FE model of transient magnetic field computation directly. Sliding interface between stationary and moving region is used during the transient analysis. The periodic boundaries are implemented in an easy way to reduce the computation scale. It is proved that this method can be used for both electro-motional static and dynamic cases. The test of a transformer and an EMS-Maglev system reveals that the method generates reasonable results at very low computational costs comparing with the transient FE analysis.
基金Supported by Program from Education Department of Sichuan Province(112B115)~~
文摘[Objective] The aim was to explore technology on processing feces in duck farms at scale, providing guiding method for effective control of environmental issues in breeding farms. [Methed] Bio-safety disposal and recovering processing of excrements in a duck farm were researched based on technology of configuration, detection, digestion, EM and poultry breeding. [Result] The integrated application technology is quite simple and the cost is not high. During breeding period, excellent organic fertilizers and high-protein forages could be obtained without any antibiotics. Furthermore, secondary wastes and pollution would not occur. In addition, ammonia was lower in excrements processed with earthworm and air pollution was reduced; the produced humus provided organic fertilizers and improved barren soils. [Conclusion] The research provides references of multi-technology integration for related industries.
基金supported by the National Natural Science Foundation of China(Grant Nos.41374077,41074047)CEA-NASCC Dragon Project Ⅲ(Grant No.10671)Special Public Benefit Program for Earthquake Study(Grant No.200808010)
文摘The alternating electromagnetic(EM) field is one of the most sensitive physical fields related to earthquakes. There have been a number of publications reporting EM anomalies associated with earthquakes. With increasing applications and research of artificial-source extremely low frequency EM and satellite EM technologies in earthquake studies, the amount of observed data from the alternating EM method increases rapidly and exponentially, so it is imperative to develop suitable and effective methods for processing and analyzing the influx of big data. This paper presents research on the self-adaptive filter and wavelet techniques and their applications to analyzing EM data obtained from ground measurements and satellite observations, respectively. Analysis results show that the self-adaptive filter method can identify both natural- and artificial-source EM signals, and enhance the ratio between signal and noise of EM field spectra, apparent resistivity, and others. The wavelet analysis is capable of detecting possible correlation between EM anomalies and seismic events. These techniques are effective in processing and analyzing massive data obtained from EM observations.
