| Autor: |
Huang Huimin, Wang Feifeng, Lu Yufeng, Xia Xiaofei, Su Yi |
| Jazyk: |
English<br />French |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
E3S Web of Conferences, Vol 38, p 04022 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
2267-1242 |
| DOI: |
10.1051/e3sconf/20183804022 |
| Popis: |
This paper applied computer vision technology to the fatigue condition monitoring of springs, and a new telescopic characteristics test method is proposed for circuit breaker operating mechanism spring based on image processing technology. High-speed camera is utilized to capture spring movement image sequences when high voltage circuit breaker operated. Then the image-matching method is used to obtain the deformation-time curve and speed-time curve, and the spring expansion and deformation parameters are extracted from it, which will lay a foundation for subsequent spring force analysis and matching state evaluation. After performing simulation tests at the experimental site, this image analyzing method could solve the complex problems of traditional mechanical sensor installation and monitoring online, status assessment of the circuit breaker spring. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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