@inproceedings{52a3488e316942b9b0b50643930b9f93,
title = "Design and application of indirect detection software for audible noise",
abstract = "Corona effect and audible noise caused by transmission line in UHV transmission project have always been the key problems worthy of attention. At present, the measurement of audible noise of transmission line is usually measured by direct detection method, but it is easy to be affected by background noise in complex environment. Based on the correlation model of audible noise and corona current, aiming at the need of audible noise detection of Ultra-High Voltage Direct Current (UHVDC) transmission line, a realization method of software, which is based on C \# Net and MATLAB, is proposed to obtain the sound level of audible noise by corona current measurement data. The software includes corona current time domain waveform measurement model, corona current processing module, audible noise calculation module and so on. The test results show that the software has complete functions and can meet the audible noise detection method.",
keywords = "Audible noise, C\#.NET, Indirect detection, Matlab",
author = "Feng Huang and Hui Huang and Zhimin Qin and Hui Deng and Liang Yun and Jiahuan Xu and Yingyi Liu and Yuanqing Liu",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; 2nd International Conference on Information Technology and Intelligent Control, CITIC 2022 ; Conference date: 15-07-2022 Through 17-07-2022",
year = "2022",
doi = "10.1117/12.2653424",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Kousar Nikhath",
booktitle = "2nd International Conference on Information Technology and Intelligent Control, CITIC 2022",
address = "美国",
}