Novel Application of Hurst Exponent and Fractal Analysis for Predictive Maintenance in Electric Generators

This research proposal introduces a novel approach to predictive maintenance in electric generators by leveraging the Hurst exponent and fractal analysis. The aim is to enhance the reliability and efficiency of electric generators used in critical infrastructure by analyzing operational data. By quantifying the long-term behavior and fractal characteristics of generator operations, this research seeks to determine failure rates and optimize maintenance intervals.