Abstract
We present a spectral image processing method for estimating the distribution of the reduced electric field E/N for Hermstein’s glow corona discharge. This method analyzes spectral images of the discharge taken by an intensified charge-coupled device camera with ultra-narrow band pass filters at the pixel level. The method requires a shorter measurement time than optical emission spectroscopy and can reveal finer details of the spatial distribution. Experiments showed that the E/N of discharge at the tip of the electrode locally increases with an increase in the applied voltage. In particular, E/N at the tip of the electrode reaches a high value just before breakdown. Based on the maximum acquired values, the breakdown of discharge is estimated to occur when E/N ≥ 270 × 10−21–340 × 10−21 V m2. This study is expected to contribute to monitoring the discharge state of electrical equipment to prevent breakdown and ensure safety.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.