State Pinggao Group Co.

Pingdingshan, China

State Pinggao Group Co.

Pingdingshan, China
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Dong H.,Dalian Jiaotong University | Dong H.,State Pinggao Group Co. | Sun Q.,Dalian Jiaotong University | Si M.,Dalian Jiaotong University | And 4 more authors.
Zhenkong Kexue yu Jishu Xuebao/Journal of Vacuum Science and Technology | Year: 2016

A novel algorithm was developed to precisely determine the opening velocity of a vacuum circuit breaker by processing the arc images taken with a charged coupled device (CCD) camera. Two schemes: gray level moments algorithmand image gradient gradation, were used to accurately locate the edge positions of the fixed and moving electrodes. Moreover, the interference edge points were removed by Hough transform, and the true arc edge line was determined by least square data fitting of the remaining edge points. The instantaneous velocityof the moving electrode can be calculated in terms of the average inter-frame speed. The results show that the newly-developed sub-pixel detection algorithm, gray level moments algorithm, is capable of more precisely locating the moving electrode with an error of 0.01pixel to 0.35pixels. The fitted opening velocity with smaller fitting error was found to be smooth, accurate and fairly stable. © 2016, Science Press. All right reserved.


Dong H.,Dalian Jiaotong University | Dong H.,State Pinggao Group Co. | Feng Y.,Dalian Jiaotong University | Liu J.,Dalian Jiaotong University | And 2 more authors.
Zhenkong Kexue yu Jishu Xuebao/Journal of Vacuum Science and Technology | Year: 2017

A novel algorithm was developed to precisely evaluate the contact opening speed of vacuum switch by processing the arc images taken with charged coupled device (CCD) camera, based on Zernike moment algorithm. First, the precise positioning range was narrowed by locating all the possible edges of the arc at pixel level with Cannyoperator. Next, all the possible edges of the arc were re-evaluated with Zernike momentsoperator. Finally, the opening speed of the vacuum switch was accurately determined at sub-pixel level. The newly-developed algorithm was tested. The test results show that the novel algorithm is capable of accurately determining the opening speed of the contacts. The position of the moving contact edge was located with a precision up to two decimal places; and the calculation speed of the new algorithm was 35% faster than that of the algorithm at pixel level. © 2017, Journal of Vacuum Science and Technology Publishing House. All right reserved.

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