
AI optimizes the maintenance efficiency of drive systems
The Mindsphere application Predictive Service Assistance from Siemens uses artificial intelligence to optimize the maintenance efficiency of drive systems.
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The Mindsphere application Predictive Service Assistance from Siemens uses artificial intelligence to optimize the maintenance efficiency of drive systems.
Detailed preliminary planning enables the pump and submersible motor specialist KSB to expand and modernize its storage facilities without interrupting production.
Economically efficient production is crucial for a company's profitability. In the case of metal cutting, safe and predictable processes and production environments are crucial: firstly, to ensure maximum production output in the long term, and secondly, to keep production costs as low as possible.

Weidmüller helps users to generate added value from their data - from data acquisition to pre-processing, communication, data analysis and business logic.

Drive systems across all industries make Nord Drivesystems a leading supplier of drive solutions for the food and beverage industry.

Eaton has revised the devices in the compact DC1 frequency inverter series with IP66 protection: The range now comprises four sizes, while the DC1 portfolio now has an outdoor rating for high UV resistance.
NASA uses ultrasound to detect bearing damage at an early stage. This technology, combined with artificial intelligence, could now help condition-based maintenance, in the sense of predictive maintenance, to achieve a breakthrough.

Faulhaber has expanded its BXT flat motor series to include gears designed for this purpose as well as integrated encoders and speed controllers that are short in the axial direction. This means that the specialist has drive systems in its portfolio if installation space is tight.
An electric chain hoist from Kito lifts and lowers pumps in a water treatment plant in Finland. As the space above the pumps is limited, the Sher2M electric chain hoist was chosen.

With Airlink, Becker has developed a solution with which sensor values from pumps and compressors can be analyzed directly in the component. This provides the operator with maintenance information in real time.