Availability losses include unplanned stops, e.g.equipment failures, and planned stops e.g. machine setup and recipe changeover time. Using real-time maintenance (RTM) technologies in your production plants increases machine availability, ensures throughput and minimises material losses.
moneo is an Industry 4.0 software platform. The integrated algorithms enable predictive maintenance for many critical industrial machines and convert your sensor data into valuable insights Receive notifications prior to a machine failure, so you can plan preventive maintenance work in advance.
Effects (crashes)
Friction
Mechanical fatigue
Temperature (overheating)
Your production equipment is available as planned.
Your cycle times are never affected by damaged machines.
Your production systems automatically detect and report quality defects.
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Advantage |
No time needed for planning |
No unexpected disruptions or failures |
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How? |
Maintenance if defects occur [repair in this case?] |
Scheduling regular inspections using expert knowledge of the machines |
Condition data must be evaluated by a specialist before action is taken |
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Technology |
Repair tools |
Repair tools and computerised maintenance management system |
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Smart sensors, edge processing, machine learning algorithms, cloud architecture |
Please note |
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Investments in hardware and integration |
Components | Description | ||
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Vibration is the most important measure of mechanical condition
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Temperature is another indicator of energy loss
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Data acquisition via IO-Link for standard PLC controller or data transfer to OT/IT systems
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Cloud connection for all IO-Link masters and vibration controllers
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