Breaker Contact Movement State Recognition Based on Image Processing | Zendy

Tianzheng Wang | Zendy; Yansong Li | Zendy; Zhongjie Wang | Zendy; Liqiang Ma | Zendy; Yaxiao Wang | Zendy

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Breaker Contact Movement State Recognition Based on Image Processing

Author(s) -

Tianzheng Wang,

Yansong Li,

Zhongjie Wang,

Liqiang Ma,

Yaxiao Wang

Publication year - 2017

Publication title -

destech transactions on engineering and technology research

Language(s) - English

Resource type - Journals

ISSN - 2475-885X

DOI - 10.12783/dtetr/icca2016/6002

Subject(s) - circuit breaker , computer vision , artificial intelligence , computer science , robustness (evolution) , image processing , particle filter , tracking (education) , state (computer science) , image (mathematics) , filter (signal processing) , engineering , algorithm , electrical engineering , psychology , pedagogy , biochemistry , chemistry , gene

This paper briefly describes a new method of breaker contact movement state recognition. This method is based on image target tracking. Particle filter algorithm can solve the non-linear processing problem, so it is better robustness and accuracy to the image target tracking. Using high-speed motion picture camera to obtain the circuit breaker image can solve some difficulties which are done by traditional ‘contact’ measurement methods. Experimental results show that breaker contact movement state recognition based on image processing is very effective.

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