failure prediction models

Failure prediction models are tools that analyze data from machines or systems to forecast potential breakdowns before they happen. They use patterns, past maintenance records, sensor readings, and other information to identify early signs of problems. By doing so, these models help businesses perform maintenance proactively, reducing downtime and repair costs. Essentially, they act like a health monitor for equipment, alerting operators to issues in advance so repairs can be scheduled at convenient times, ensuring continuous and efficient operation.