Journal of Electrical Engineering and Automation

As the core hub for energy transmission and equipment operation, mine substations have their insulation systems directly impacting power supply stability and safety. Traditional detection methods often fail to promptly identify potential deterioration issues, leading to sudden equipment failures. By establishing an online insulation monitoring system, real-time data collection and trend analysis of operational parameters can be achieved. Combined with life prediction models, this approach enables quantitative evaluation of insulation degradation processes. This methodology demonstrates advantages in enhancing diagnostic accuracy and predictive reliability, providing decision-making support for equipment maintenance while reducing unexpected risks and extending the service life of critical components.

Mine substation; Online insulation monitoring; Life prediction; Model construction