Abstract
One year of fair-weather radio noise (RI) data from an EHV line was analyzed. Two types of variation were found: long- term over several months and short-term over several days. Summer RI readings were higher than winter readings by 12 dB and lasted longer. Based on these results, a procedure for predicting average monthly RI levels is outlined. Short-term variations of fair-weather RI level were analyzed statistically using the washing effect of rain on the conductor surface as an explanation of the RI variation. Results yielded a favorable inference for the statistical model.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
