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A correction testing method for mechanical characteristic parameter of circuit breaker based on vision technology
Author(s) -
Zhao Shutao,
Zhu Jipeng,
Wu Chengjian,
Wang Bo,
He Mengyuan
Publication year - 2018
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22669
Subject(s) - pyramid (geometry) , frame (networking) , circuit breaker , installation , vibration , displacement (psychology) , computer science , basis (linear algebra) , reduction (mathematics) , engineering , artificial intelligence , computer vision , mechanical engineering , mathematics , acoustics , psychology , physics , geometry , psychotherapist
Mechanical characteristic parameter of a circuit breaker (CB) is an important basis to evaluate its performance. Traditional testing methods involve installing complex sensors and cannot perform testing online. A non‐touch testing method based on computer vision technology is proposed in this paper. During operation, we use a high‐speed camera to capture image sequences, and then search for the target frame by frame using the normalized cross‐correlation pyramid (NCC‐P) algorithm. At the same time, the error caused by vibration displacement of the CB is corrected through the movement condition of the fixed part. Finally, the moving trail of the main shaft is constructed accurately and, furthermore, the mechanical characteristic parameter is calculated by the relationship between the main shaft and the CB contact. Experiment shows that the proposed method can test the mechanical characteristic parameter accurately and quickly. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.