AI-based service edge app for higher availability of drives

16 May 2022

As part of its Predictive Services for Drive Systems, Siemens is expanding its offering with an edge application. The Predictive Service Analyzer can indicate defects in the drive system at an early stage before they affect the entire production.

Using the solution, unplanned production downtime can be avoided and maintenance times can be scheduled in good time, increasing plant availability by up to 30%. By scheduling maintenance and servicing activities based on actual demand, this increases productivity by up to 10%. 

The Predictive Service Analyzer's AI-based solution detects early signs of anomalies, such as those indicating mechanical damage in the motor, including bearing damage, imbalance, and misalignment, as well as critical operating conditions of the frequency converter. The app assesses the severity of the defect and the expected remaining runtime and can thus predict potential future failures.

The solution is said to be particularly suitable for applications with constant movements, as is the case with pumps, fans, and compressors or with motors that do not require speed control. Compared to the MindSphere app Predicitve Service Assistant, the Edge App's analysis is based on the evaluation of very high data volumes in near real time. The edge-based solution also serves secure data handling in the plant and reduces costs for cloud data transfers. In combination with the Predicitve Service Assistant, the Predicitive Service Analyzer can preprocess data as needed, which can then be used within the MindSphere App for further insights and recommendations for action.


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