Structure-borne sound sensors give maintenance alarm
The vibration data of a machine allow surprisingly accurate conclusions about its level of wear. Intelligent algorithms will recognize critical patterns as a next step.
21 Jul 2018 Roland FreistShare
For the future, the manufacturer plans to develop its own software modules that are capable of learning and can be trained on fault symptoms. The engineers are simultaneously also working on algorithms with which the system can independently recognize correlations and, if irregularities are detected, can propose a selection of error symptoms to the user that it already knows from previous operations.
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