In Industry 4.0 / IIoT terms, predictive maintenance means evaluating process and machine data to help determine the condition of equipment and plan maintenance accordingly. Real-time processing of underlying data makes it possible to make forecasts that are foundational to needs-based maintenance and reduced downtime.
Business goals can only be achieved when plants, machines, and processes work smoothly.
The main goal of predictive maintenance is to plan for maintenance as precisely as possible and avoid unexpected downtime. Knowing when devices need maintenance leads to better resource planning. Additional benefits include longer system life, increased plant safety, and optimized spare parts management.
How Does Predictive Maintenance Work?
Predictive maintenance techniques determine the condition of plants by checking them either periodically (offline) or continuously (online). This allows scheduled maintenance to be as cost-effective and efficient as possible before machine performance suffers. To minimize interruptions to normal system operation, the majority of predictive inspections can be completed without having to shut down the plant.
Benefits at a Glance
- Increased efficiency
- Optimized maintenance planning
- Improved machine performance
Discover the variety of mobile devices and apps enabling inspection and maintenance in harsh or hazardous environments.