Back to Search
Start Over
Research progress on insulation aging mechanism and condition evaluation technology of mining EPDM high-voltage cables
- Source :
- Gong-kuang zidonghua, Vol 49, Iss 9, Pp 167-177 (2023)
- Publication Year :
- 2023
- Publisher :
- Editorial Department of Industry and Mine Automation, 2023.
-
Abstract
- Insulation is considered the weakest link in electrical equipment. The combined effects of special working conditions in coal mines and aging factors such as electrical, thermal, and mechanical stresses make it difficult to determine the aging mechanism and evaluate the condition of EPDM insulation for high-voltage cables used in mines. This paper introduces the basic performance and aging factor types of EPDM insulation for high-voltage mobile flexible cables used in coal mines. Based on the physical, chemical, mechanical, and electrical properties of EPDM under the influence of multiple aging factors, the aging mechanism of EPDM is proposed. This paper summarizes the basic principles and existing problems of online monitoring methods for insulation resistance, partial discharge, dielectric loss factor, and temperature of mining high-voltage cables. The paper summarizes the current research status of insulation status evaluation methods for mining high-voltage cables. The paper introduces the evaluation methods for insulation status of multi parameter based on improved radar map and single parameter based on dielectric loss mining high-voltage cables. To cope with the development of coal mine intelligence, on the one hand, it is suggested to do research on intelligent perception and control of mining electrical equipment to compensate for the lack of state perception and state evaluation feature quantities. On the other hand, it is necessary to study lightweight models or algorithms to reduce the computational complexity, parameter quantity, and analysis time of intelligent terminals near devices. It improves the feasibility of state evaluation technology, and lays the foundation for achieving intelligent analysis and decision-making.
Details
- Language :
- Chinese
- ISSN :
- 1671251X and 1671251x
- Volume :
- 49
- Issue :
- 9
- Database :
- Directory of Open Access Journals
- Journal :
- Gong-kuang zidonghua
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.b3ee8dde57cd46b587e915ef1d8e1558
- Document Type :
- article
- Full Text :
- https://doi.org/10.13272/j.issn.1671-251x.18150