The platform, CN0549, provides mechanically secure, wide bandwidth sensor data with robust, high fidelity data acquisition. Its open source software interfaces help to simplify connectivity from embedded systems to popular data analysis tools, such as MATLAB and Python.
CN0549 enables real-time vibration data processing to accelerate the development of machine learning algorithms for predictive maintenance services and the flexibility of the platform allows engineers to accelerate their condition monitoring developments and significantly reduce development costs and risk.
Reference design key features include:
- Wide-bandwidth (DC to 10 kHz) MEMS vibration sensor, compatible with existing piezoelectric IEPE compliant interfaces.
- Characterised mechanical mounting cube that enables full-bandwidth mechanical transfer function of the MEMs vibration sensor.
- A wide bandwidth, high fidelity data acquisition system reference design, for IEPE compatible sensors.
- Embedded gateway with industry standard open source software for data processing
- Stream vibration data into popular machine learning environments such as MATLAB, TensorFlow, and other Python based tools for algorithm development using step-by-step examples.
