Predictive Maintenance Toolbox
Predictive maintenance is the intelligent health monitoring of equipment to avoid future failure. In contrast to preventive maintenance, which follows a set timeline, predictive maintenance schedules are determined by analytic algorithms and data from equipment sensors. With predictive maintenance, organizations can identify issues before equipment fails, pinpoint the root cause of the failure, and schedule maintenance as soon as it’s needed. This is to help engineers design and test condition monitoring and predictive maintenance algorithms.
Predictive Maintenance Toolbox provides tools for labeling data, designing condition indicators, and estimating the remaining useful life (RUL) of a machine. You can analyse and label machine data imported from local files, cloud storage, and distributed file systems. You can also label simulated failure data generated from Simulink models.