NDLI: Inversion technology of transitional history of negative step-force based on neural networks

Content Provider	IEEE Xplore Digital Library
Author	Wen He Chunpeng Zhu Fai Ma
Copyright Year	2005
Description	Author affiliation: Inst. of Manuf. Eng., Zhejiang Univ., Hangzhou, China (Wen He; Chunpeng Zhu)
Abstract	In the paper, a kind of new metrology of negative step-force is put forwards based on neural networks. Firstly, the dynamometric system of negative step-force generator is introduced which contains a special design of measuring cell that is connected in series with a force transducer. Secondly, a neural network model between the negative step-force and the displacement response of a certain point on the surface of the cell is built based on the technology of finite element analysis. Then according to the displacement response of the point on the cell, the dynamic force that acts on the transducer can be inversed, and the method proves to be true theoretically. Finally, a kind of laser Doppler interferometer is designed to measure the velocity of the point on the surface of the cell, and the displacement is calculated in the meantime, and then the transitional history of negative step-force could be got based on the neural network model, and the method proves to be correct experimentally.
Starting Page	598
Ending Page	602
File Size	754826
Page Count	5
File Format	PDF
ISBN	0780388127
DOI	10.1109/ICNSC.2005.1461258
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-03-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	History Neural networks Force measurement Transducers Metrology Finite element methods Laser modes Laser theory Laser transitions Optical design
Content Type	Text
Resource Type	Article

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