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Using the Motor Drive as a Sensor to...
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The University of Wisconsin - Madison.
Using the Motor Drive as a Sensor to Extract Spatial Domain Information.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Using the Motor Drive as a Sensor to Extract Spatial Domain Information./
作者:
Wolf, Christopher M.
面頁冊數:
406 p.
附註:
Source: Dissertation Abstracts International, Volume: 73-07, Section: B, page: .
Contained By:
Dissertation Abstracts International73-07B.
標題:
Engineering, Electronics and Electrical. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3501184
ISBN:
9781267222367
Using the Motor Drive as a Sensor to Extract Spatial Domain Information.
Wolf, Christopher M.
Using the Motor Drive as a Sensor to Extract Spatial Domain Information.
- 406 p.
Source: Dissertation Abstracts International, Volume: 73-07, Section: B, page: .
Thesis (Ph.D.)--The University of Wisconsin - Madison, 2011.
A servo-motor drive contains state information already used for control and monitoring. These signals can be used to estimate other state information without any increase in required hardware. This research focuses on the application of known state information to extract information of spatially dependent phenomena. This text contains a review of the state-of-the-art technology in analyzing spatially dependent phenomena. The limitations of these existing techniques are then discussed. The proposed methods are developed to utilize the motor drive to estimate and extract spatial information through spatial domain re-sampling of discrete time information and spatial synchronous averaging.
ISBN: 9781267222367Subjects--Topical Terms:
845382
Engineering, Electronics and Electrical.
Using the Motor Drive as a Sensor to Extract Spatial Domain Information.
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Source: Dissertation Abstracts International, Volume: 73-07, Section: B, page: .
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A servo-motor drive contains state information already used for control and monitoring. These signals can be used to estimate other state information without any increase in required hardware. This research focuses on the application of known state information to extract information of spatially dependent phenomena. This text contains a review of the state-of-the-art technology in analyzing spatially dependent phenomena. The limitations of these existing techniques are then discussed. The proposed methods are developed to utilize the motor drive to estimate and extract spatial information through spatial domain re-sampling of discrete time information and spatial synchronous averaging.
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The methods proposed are evaluated through simulation to illustrate important developments and limitations. Two different test stands were designed for the experimental evaluation of the techniques in a laboratory setting with realistic sensors, and the results are discussed. Finally, the limitations of the proposed techniques are presented and explored with analytical, numerical, and experimental techniques.
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