MindConnect Nano with edge analytics capabilities
High-frequency data collection
Use of MindConnect adapters. These are Simatic S7 put / get adapter, OPC UA client, Modbus RTU, Modbus TCP, System adapter

Edge analytics through data preprocessing
Collection, recording and archiving of high dynamic signals from a variety of data sources
Sampling rates up to 50 kHz per second
Local data buffering in memory for analysis then send it to MindSphere for long-term archiving
Vibration analysis with a highly scalable system
Improved asset availability through predictive maintenance
Intuitive creation of common KPIs
Usage of seven predefined KPI calculations: RMS Velocity, Peak-Peak Velocity, Zero-Peak Velocity, RMS Acceleration, Peak-Peak Acceleration, Zero-Peak Acceleration, Crest Factor
Availability for a wide range of industries
Calculate vibration characteristic values: RMS Acceleration, Peak-Peak Acceleration, Zero-Peak Acceleration, RMS Velocity, Peak-Peak Velocity, Zero-Peak Velocity
Calculate vibration frequency spectra: Spectrum Acceleration, Spectrum Acceleration Envelope, Spectrum Velocity
Calculate mathematical statistics: Average, Minimum, Maximum, Peak-Peak, Dynamic