An AI-Based Approach for Failure Prediction in Transmission Lines Components
IBERAMIA(2022)
Abstract
In this paper, a novel AI method for failure prediction in transmission lines components is presented. The method combines machine learning and deep learning capabilities. The approach was tested using degradation simulated data of a composite insulator exposed to different levels of environmental pollution. The failure model was constructed using historical real data of a Mexican utility. Preliminary experimental results shows that the joint use of deterministic forecasting and probabilistic diagnosis methods help determine the future failure of a transmission line component for different time horizons with very acceptable precision rates.
MoreTranslated text
Key words
Transmission line components,Composite polymeric insulators,Failure prediction,Machine learning,Deep learning
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined