Predictive maintenance scope is to predict the condition of a piece of equipment in order to determine when maintenance should be performed. Since this approach targets maintenance based on the condition of the equipment, its added value is related to cost-savings when compared to time-based scheduled maintenance or preventive maintenance. By avoiding unnecessary maintenance this approach results in increased factory uptime and longer equipment lifespan, since its normally able to target defects or small repairs based on sensor measurements.
A predictive maintenance setup requires run-to-failure data to enable statistical analysis of condition and operational patterns. The more data available the more accurate the model is expected to be.
Analyzing data relative to equipment wear and failure enables the detection of anomalies, optimized scheduling and recovery plans, resulting in: