Siemens has launched its first edge application for drives, claiming that it will make Sinamics drive systems more intelligent and will pave the way for new business models.

Analyze MyDrives Edge offers basic functionalities similar to the proven Mindsphere application Analyze MyDrives but will be enhanced with intelligent features based on high-frequency data exchange. The Edge application allows users of machines and industry applications to perform complex analyses of data that is already collected in the drive. Machine learning and artificial intelligence (AI) algorithms on which the edge application is based identify patterns and detect anomalies and their causes, thus providing timely indications of any pending machine maintenance. This minimizes downtimes and reduces the consumption of resources.

The new AI module for the Predictive Service Assistance Mindsphere application identifies fault patterns in motors – such as misalignments or defective bearings – at an early stage. The module uses a neural network to solve what was previously implemented using a defined key performance indicator limit value. This enables it to detect anomalies before the limit value is reached, and to indicate the type and severity of faults and their development.

As soon as the application spots signs of a problem, it warns the user, indicating when the error should be corrected, and recommending corrective action to avoid downtime. The module is offered as part of the Predictive Service Assessment app and the package also includes a customized configuration service that optimizes the Mindsphere application to meet a user’s needs.

In addition to pure connectivity, the Drive System Framework also allows the management of the drive systems connected to the Edge platform. For example, machine builders and users can change parameters or perform necessary firmware updates. With intelligent drive technology, machine builders can provide user-specific application solutions and digital services or can guarantee the availability of a machine by contract.

Source: Siemens