Machine Learning in Maintenance

Machine learning in maintenance involves using data and algorithms to predict when equipment might fail or need repairs. By analyzing patterns frompast performance, sensor readings, and operational data, the system learns to identify signs of potential issues early. This allows maintenance to be scheduled proactively, reducing unexpected breakdowns and downtime. Essentially, it helps machines "tell" us when they need attention, improving efficiency, safety, and cost savings without relying solely on scheduled inspections or reactive repairs.