Измерение, мониторинг, управление, контроль (Jun 2024)

EXPERIMENTAL STUDY OF INFORMATION PARAMETERS OF ACOUSTIC NOISE

  • K.V. Frolov,
  • L.M. Inakhodova

DOI
https://doi.org/10.21685/2307-5538-2024-2-3
Journal volume & issue
no. 2

Abstract

Read online

Background. An important component of the viability of electrical equipment is the timely diagnosis of its main components, which allows to extend the service life and reduce the cost of its operation. Diagnostics of complete switchgear can be carried out both in testing laboratories and in operating conditions at substations using various diagnostic equipment. The quality of substation operation and uninterrupted power supply to electricity consumers depend on the efficiency of diagnostic devices. Currently, there are many methods for diagnosing electrical equipment to detect damage at an early stage of defect development. The use of devices based on the acoustic method allows for early diagnosis to prevent an emergency situation at the substation. The purpose of the work is to determine the parameters of acoustic noise, allowing to detect the occurrence of an electrical defect. The relevance of the topic is due to the need for uninterrupted power supply to consumers and minimizing the cost of operating electrical equipment. Materials and methods. The research is based on the application of spectral analysis methods using the Fourier transform and the wavelet transform in relation to the tasks of determining the information parameters of acoustic noise. Results. An overview and a brief analysis of acoustic studies of serviceable and faulty complete switchgear are presented, as well as a description of changes in the information parameters of acoustic noise. Conclusion. The presented experimental studies of acoustic noise and the determination of their information parameters can be used to create an information and measurement diagnostic system for complete switchgear to identify pre-emergency conditions of electrical equipment as part of complete switchgear.

Keywords