NDLI: Visual simulation of low voltage apparatus switching arc

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Fast algorithm and application of Hough transform in iris segmentation

Adaptive linear feature detection based on beamlet

Nonseparable biorthogonal wavelet packets in L/sup 2/(R/sup 2/)

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On the upper approximations of covering generalized rough sets

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Combining neighbor fuzzy entropy, gradient unit feature with color-spatial feature for image retrieval

A novel fuzzy wavelet approach to contrast enhancement

Multisensor image fusion by using discrete multiwavelet transform

Visual simulation of low voltage apparatus switching arc

Dynamic background discrimination with belief propagation

Corner detection for object recognition by using wavelet transform

Research on adaptive image denoising based on wavelet transform

Image fusion for a digital camera application based on wavelet domain hidden Markov models

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On the analysis of direct adaptive fuzzy controllers

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Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693)

Proceedings. International Conference on Machine Learning and Cybernetics

Visual simulation of low voltage apparatus switching arc

Content Provider	IEEE Xplore Digital Library
Author	Jiao-Min Liu Xin-Fu Li
Copyright Year	2004
Description	Author affiliation: Hebei Univ. of Technol., Tianjin, China (Jiao-Min Liu; Xin-Fu Li)
Abstract	Research on switching arc motion for the improvement of low voltage apparatus is important. But arcing time is very short in the operation of switchgear under the real situation. In order to observe and analyze the whole process of arcing, a kind of visual simulation method based on arc image is presented. The feature points of arc column are extracted from arc image. Arc column visual model is constructed based on magnetic pinch effect, no-uniform rational B-spline technique and the arc feature points. Simulation results show that the proposed approach is an effective visual method for switching arc of low voltage apparatus.
Starting Page	4337
Ending Page	4341
File Size	293988
Page Count	5
File Format	PDF
ISBN	0780384032
DOI	10.1109/ICMLC.2004.1384599
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-08-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Low voltage Magnetic switching Plasma temperature Magnetic fields Spline Shape Computational modeling Image analysis Magnetic analysis Analytical models
Content Type	Text
Resource Type	Article

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