Anticipate Asset Failures with Predictive Maintenance

Prevent production breakdowns, minimize maintenance costs, and unlock unparalleled performance.

Predictive Maintenance. Uncovered.

Predictive maintenance (PdM) uses advanced monitoring techniques (e.g., vibration analysis), IoT, data analysis, and artificial intelligence to predict and address equipment downtime such as cavitation or bearing failure.

By predicting production breakdowns, PdM programs can significantly improve asset uptime, cut maintenance costs, and enhance safety.

Up to

0

Reduction in
Maintenance Planning Time

Up to

0

Increase Mean-time Between Failures (MTBF)

Up to

0

Reduction in
production asset breakdowns

Implement proactive maintenance based on risk profile and asset condition to prevent machine downtime and unplanned maintenance.

Decrease process variability and minimize maintenance and production costs.

Maintain machinery in optimal condition and reduce the risk of malfunctions and accidents, enhancing workplace safety.

Maximize asset lifespan and ROI
by reducing wear and tear.

Contribute to minimizing waste and energy consumption, supporting greener production, and corporate social responsibility initiatives.

Reduce process variability and optimize product quality along the production cycle.

A Unique End-To-End Approach

Hardware

Software

Services