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浏览/检索结果: 共8条，第1-8条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A commutation analytical model for quench protection of the CFETR central solenoid model coil 期刊论文 PLASMA SCIENCE & TECHNOLOGY, 2020, 卷号: 22 作者:  Deng, Tianbai;  Gao, Ge;  Wu, Yanan;  Li, Jun;  Fu, Peng 收藏  |  浏览/下载：23/0  |  提交时间：2020/11/26 quench protection  fuse model  arc model  superconducting magnet  central solenoid model coil   Multi-coupled commutation analysis in EAST poloidal field quench protection circuits based on fuse model 期刊论文 FUSION ENGINEERING AND DESIGN, 2020, 卷号: 155 作者:  Deng, Tianbai;  Gao, Ge;  Fu, Peng;  Huang, Liansheng;  Song, Zhiquan 收藏  |  浏览/下载：66/0  |  提交时间：2020/11/26 Fuse model  Arc model  Quench protection  Multi-coupled coils  Poloidal field   Simulating Thermal Phenomena Occurring in Fast Electric Fuses Used for Power Electronic Protection 会议论文 作者:  Stefan, Patrichi;  Costica, Nituca;  Gabriel, Chiriac;  Adrian, Plesca;  Liu, Zhiyuan 收藏  |  浏览/下载：4/0  |  提交时间：2019/11/19 thermal model  power electronic protection protection  fast fuse  fuselink  simulations   Thermal Modeling and Simulations for Fast Electric Fuses 会议论文 作者:  Patrichi, Stefan;  Plesca, Adrian;  Nituca, Costica;  Chiriac, Gabriel;  Wang, Jianhua 收藏  |  浏览/下载：4/0  |  提交时间：2019/11/19 thermal model  fast fuse  temperature  simulations  power electronic protection   Dynamic Simulation of the Overvoltage for Fault Current Limiter 会议论文 作者:  Bu, Wenfeng;  Liu, Tao;  Zheng, Dongfang;  Jin, Qingren;  Chen, Hongkun 收藏  |  浏览/下载：1/0  |  提交时间：2019/12/05 fault current limiter (FCL)  over-voltage  power system  fuse model   Environment modeling of AS-R robot based on BP Neural Network (EI CONFERENCE) 会议论文 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Xie M.-J.; Yu X.-L.; Wang Z.-Q. 收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25 There are some limitations when environment model of AS-R mobile robot is obtained by only using a separate CCD camera or ultrasonic sensor array. The BP neural network is designed to fuse information of the two sensors to obtain the robot's environment model in this paper. The input of BP neural network is the intercept and slope of the edge line obtained CCD camera and ultrasonic sensor arrays  which is processed by through the global coordinates of coordinate transformation. The output of BP network is the fused intercept and slope of the straight edge. Experiment shows that environment model is feasible for the AS-R mobile robot and the environment modeling method has more reliability and accuracy. 2010 IEEE.   Restoration of an atmospherically blurred image based on physical model fusion approach (EI CONFERENCE) 会议论文 2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China Li J.; Wang Y.; Sun H.; Tian R.; Zhang Y. 收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25 This paper proposes a new restoration method  only using the single image information  combining atmospheric physical model with fusion techniques to reduce the degradation of the image contrast in bad weather conditions caused by atmospheric aerosols  such as haze and fog. The basic idea of this method is to utilize physics-based model method instead of multisensors to generate a serial of virtual images  and then to fuse those virtual images into a high contrast image based on the wavelet fusion technique. In contrast to previous methods  our restoration technique is not only independent on predicted structure  distributions of scene reflectance  or detailed knowledge about the particular weather condition  but also adapt to the situation without a reference image or images with moving objects captured by a video camera. Experiments on different poorcontrast images demonstrate the availability of the proposed method in case of restoring the atmospherically blurred images. 2010 IEEE.   INS's error compensation on the base of the celestial theodolite (EI CONFERENCE) 会议论文 ICO20: Optical Devices and Instruments, August 21, 2005 - August 26, 2005, Changchun, China Zhao H.-B.; Guo L.-H. 收藏  |  浏览/下载：59/0  |  提交时间：2013/03/25 In recent years there has been a major upsurge of interest in the integrated inertial navigation system (INS)/celestial navigation system (CNS) as a cost-effective way of providing accurate and reliable navigation aid for civil and military vehicles (ships  aircrafts  land vehicles and so on). One of the disadvantages of INS is its errors will grow unbounded. The CNS can be used to improve position estimation resulting from INS measurement. This paper describes the design of this. An error model developed earlier is used for CNS/INS filter (Kalman filter) mechanization. In CNS  celestial theodolite acquires an image of the sky  recognize the most brilliant stars in the image  creates with them a "constellation"  and searches for this pattern in an on board star catalogue of the observed region to get the precise position and attitude information of vehicles. The Kalman filter method is used to fuse measurement from the system. We can use this information to compensate INS's error. The tests carry out with this system show that system will get accurate navigation information.