As the energy sector continues to grow and evolve, the need for advanced maintenance techniques that ensure the reliability and safety of electrical components becomes increasingly important. The adoption of predictive maintenance has become a major concern for companies that require regular component replacement. Enterprises are investing in creating predictive models that anticipate component failure to meet the demands of today's decade. Predictive maintenance is a very useful and powerful tool to ensure component reliability, as it allows companies to monitor the health of their assets and detect potential failures before they occur. Given the large amount of data generated by modern electrical systems, it is very challenging to select an appropriate classification model for predictive maintenance.