Prospects for the Development of Corona Discharge Detection Method by Spectral Acoustic Radiation

The issues of the prospects for the development of method for determining the presence of corona discharge by spectral acoustic functions were considered. Since the method uses the spectral Fourier transform, which led to errors in the calculations, the literary sources devoted to the disadvantages of the Fourier transform method were analyzed. For using more suitable method, a review of the literature was carried out regarding the possibility of using other mathematical methods. A review of mathematical models and methods for monitoring the properties of dynamic processes has been carried out. The tasks of monitoring dynamic processes are described. Under the certain assumption that acoustic noise from a corona discharge will be decomposed into a time series, then a certain number of time series analysis methods can be used. An analysis of the structure of time series was carried out to identify the cause-and-effect relationships of a dynamic system. The moments of change in the properties of the time series are revealed. The moments of exit of individual process parameters beyond the permissible range of values are revealed. The method of principal components for analysis of time series is proposed.