A unique deep learning solution for the manufacturing industry can help US firms eradicate defective parts from their production operations.
- Festo Corporation
Smartenance consists of two parts: a mobile maintenance calendar as an app for smartphone and tablets on the shop floor and a desktop web-browser interface for managing and documenting maintenance tasks in the office.
TrendMiner enables production experts in the process manufacturing industries to analyze, monitor and predict operational performance with use of sensor-generated time-series data. Oftentimes, sensors cannot measure what is most crucial for a production process.
- Endress & Hauser
Netilion is an ecosystem combining digital services and system components intended to improve the lifecycle and asset management, maintenance, and support of instruments and analyzers.
The fault detection and classification system (FDC) is called Dynamic Fault Detection (DFD) in the cloud. It establishes trace references dynamically and does not rely solely on the traditional control limiting methods.
- Fluke Corporation
The system was also designed for remote monitoring of industrial environments – such as substation monitoring or pile monitoring, among others – and provides a fully integrated thermal analysis of large areas through a single Pan and Tilt camera.
- Beckhoff Automation
This controller is a two-channel motor output stage for BLDC motors used in MDRs, regardless of the conveyor or roller motor vendor.
MARK Display brings essential information right where front-line workers in the supply chain need it most: the back of the hand.
These applications work to empower engineers and scientists in process manufacturing organizations to analyze, predict, collaborate, and share insights.
With the service portfolio including Mindsphere app, Siemens is focusing on the operative demands of machine users, who are looking for full transparency for spare parts and servicing.