Maintenance Required

Maintenance optimization is a rapidly evolving field focused on improving efficiency, reducing costs, and enhancing safety across diverse sectors. Current research emphasizes the use of machine learning, including deep neural networks, ensemble classifiers, and logistic regression, to predict equipment failures, automate diagnostic processes, and optimize maintenance schedules based on historical data and real-time sensor information. These advancements are significantly impacting various industries, from transportation and infrastructure to healthcare and manufacturing, by enabling proactive maintenance strategies and reducing downtime. The development of robust ontologies and standardized data frameworks further supports the integration and sharing of maintenance-related knowledge.