机构

• 长春光学精密机械与物... [2]
• 数学与系统科学研究院 [2]

采集方式

• OAI收割 [4]

内容类型

• 会议论文 [2]
• 期刊论文 [2]

发表日期

• 2012 [1]
• 2009 [2]
• 2008 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择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作者升序作者降序 Parameters estimation of BLDC motor for energy storage system (EI CONFERENCE) 会议论文  OAI收割 10th World Congress on Intelligent Control and Automation, WCICA 2012, July 6, 2012 - July 8, 2012, Beijing, China Wu J. 收藏  |  浏览/下载：24/0  |  提交时间：2013/03/25 This paper presents a statistical method to estimate the parameters of the brushless dc (BLDC) motor of a flywheel system for energy storage. The principle of the estimation is based on least square estimation under a reasonable constraint. Method is suitable to avoid using complicated test apparatus. Torque constant  static friction coefficient  vicious friction coefficient and inertia moment can be estimated. Furthermore  copper loss  iron loss  mechanical loss and other loss can be computed from these estimation and measurement data. By the proposed method  it is demonstrated experimentally that accuracy estimation can be achieved. 2012 IEEE.   Moment estimates for weak solutions to the Navier-Stokes equations in half-space 期刊论文  OAI收割 MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2009, 卷号: 32, 期号: 14, 页码: 1878-1892 作者:  He, Cheng;  Wang, Lizhen   |  收藏  |  浏览/下载：16/0  |  提交时间：2018/07/30 Navier-Stokes equations  moment estimate   Inference of non-centrality parameter of a truncated non-central chi-squared distribution 期刊论文  OAI收割 JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2009, 卷号: 139, 期号: 7, 页码: 2431-2444 作者:  Li, Qizhai;  Yu, Kai   |  收藏  |  浏览/下载：27/0  |  提交时间：2018/07/30 Truncated non-central chi-squared distribution  Moment estimate  Mean-squared error  Generalized Bayes rule  Inadmissibility   Autofocusing technique based on image processing for remote-sensing camera (EI CONFERENCE) 会议论文  OAI收割 International Symposium on Photoelectronic Detection and Imaging 2007 - Image Processing, September 9, 2007 - September 12, 2007, Beijing, China 作者:  Wang X.;  Xu S.-Y.;  Wang X.;  Wang X. 收藏  |  浏览/下载：25/0  |  提交时间：2013/03/25 The key to the auto-focusing technique based on image processing is the selection of focus measure reflecting image definition. Usually the measures derived are on the premise of the images acquired with the same scene. As for the remote-sensing camera working in linear CCD push-broom imaging mode  the premise doesn't exist because the scenes shot are different at any moment  which brings about difficulties to the selection of the focus measure. To evaluate the image definition  the focus measure based on blur estimation for rough adjustment is proposed to estimate the focused position by only two different lens positions  which greatly saves the auto-focusing time. Another evaluation function based on edge sharpness is developed to find best imaging position in the narrow range. Simulations show that the combination of the two measures has the advantages of rapid reaction and high accuracy.