Real-time vibration data processing for preventive maintenance
Accelerating the development of machine learning algorithms for services.


Analog Devices (ADI) today announced the CN0549, a new Condition-based Monitoring (CbM) development platform designed to accelerate the development of condition monitoring hardware, software, and algorithms. CN0549 enables real-time vibration data processing, accelerating the development of machine learning algorithms for predictive maintenance services.

The IEPE-compliant CbM development platform CN0549 provides hardware-based security for robust and reliable data acquisition applications and provides wide-bandwidth sensor data (DC to 10 kHz). Additionally, it supports open-source software interfaces, making it easy to connect embedded systems to popular data analysis tools such as MATLAB® and Python.

Supporting engineers of all skill levels, from beginners to experts, the CN0549 platform enables developers to accelerate condition monitoring development while reducing development costs and risks.

Meanwhile, ADI is supplying the 'EVAL-CN0532-EBZ' IEPE-compatible wideband MEMS vibration sensor ($75) that can be used with the CN0549, the 'EVAL-XLMOUNT1' MEMS vibration sensor that can be mechanically mounted ($85), the 'EVAL-CN0540-ARDZ' 24-bit data acquisition system for IEPE sensors ($150), the 'DE10-Nano' ($130), and the 'Cora Z7-07s ($99)' FPGA development board.