The benefit of an Industry 4.0-ready anomaly analysis solution integrated into production lies in recognising conspicuous data patterns and reacting before components fail.
Anomaly analysis
in production plants
The challenge
A production plant is monitored with vibration sensors and microphones. As soon as machine vibrations become irregular or the operating noise changes, a fault is already in progress and an imminent failure could be imminent.
Procedure
- Sensors are installed to record critical parameters such as temperature, vibration or humidity.
- The measured values are collected and checked for anomalies in real time using software. For example, an unusual vibration pattern with a simultaneous rise in temperature could indicate an imminent machine failure.
- The system, trained with the help of machine learning, raises the alarm in the event of conspicuous data patterns - long before the component finally fails and major damage occurs.
Result
- With the Predictive maintenance surprising maintenance failures are a thing of the past.
- Reduction of operational failures.
- Reduction of maintenance costs.
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References
Find out more about the use case.
