Digitalization of Electrical Maintenance: How Smart Indicators Transform Industrial Utilities Management

The digitalization of industrial maintenance has transformed traditional approaches to asset management, particularly in the electrical domain. The integration of smart indicators, predictive analytics, and decision support systems has enabled industries to move from reactive and preventive models toward predictive and prescriptive maintenance strategies. This paradigm shift not only enhances operational efficiency but also extends equipment lifetime, reduces downtime, and strengthens safety and energy management. The purpose of this paper is to analyze how digital tools and intelligent indicators reshape the management of industrial utilities, emphasizing the interplay between predictive maintenance, data analytics, and decision-making. By reviewing recent academic literature, the article demonstrates that the successful adoption of smart indicators requires both robust technical architectures and human-centered decision support frameworks, highlighting challenges and opportunities for future advancements in the field.