Condition Based Monitoring (CBM) has become quite popular in the manufacturing sector due to its advantages. It is a type of pre-analysis monitoring that includes the use of sensors to evaluate the status of an asset over time while it is in operation. Hence, the data collected is used to establish trends, predict failure, and measure the life of an asset.
Analog Devices has launched CN0549, a condition-based monitoring development kit. The monitoring functionality signifies the consideration for hardware applications involving vibration. The applications include industrial as well as IoT devices. Hence, the CN0549 CBM development board combines the resources for a dynamic domain of users.
Discussing further, condition-based monitoring (CBM) through vibration sensing requires the capturing of full-bandwidth data to ensure that all harmonics, aliasing, and other mechanical interactions are taken care of in both, the time and frequency domain. The data collection by using the sensors and data acquisition (DAQ) system offers high fidelity and real-time data analysis.
Also, for the predicting life of the devices, there is a necessity of providing an accurate visualization of a system that requires monitoring. Hence, large datasets are collected to find a baseline operating point for the device in both normal operating modes and failure conditions. The CN0549 CBM development kit includes a threshold detection routine for providing the correct analysis for this equipment.
For evaluation and prediction of the life of a device, a significant amount of data needs to be processed. Hence, the CBM applications use vibration analysis for predictions, as the sensors are available for collecting datasets for analysis and modeling. The analysis involves the data points of the device working in optimal conditions and the conditional parameters when the device fails. The frequency spectrum can hence be measured and studied for analysis when operating with a vibration source.
- FPGA Development Board (DE10-Nano or Cora Z7-07s)
- FPGA Development Boards are available through Distribution partners.
- A Subminiature A (SMA) cable
- A High-Definition Multimedia Interface (HDMI) cable
- A 16 GB MicroSD card with Kuiper Linux Image installed
- A USB on the go (OTG) adaptor
- A wireless keyboard and mouse with USB dongle
One can start the setup by using the microSD card on DE10-Nano for the latest software. Further connecting the CN-0540 DAQ board and the DE10-Nano FPGA platform together using the Arduino pin connectors. Interfacing the CN-0532 to the CN-0540 using an SMA connector along with a connection of CN-0532 to one of the sides of the EVAL-XLMOUNT1.
MATLAB and Python supported tools like Tensorflow, analyzing the data, profiling the machinery, and building algorithms are possible using the CN0549 CBM development kit. The device used a 5V dc supply used through the DE10-Nano evaluation kit.
Saumitra Jagdale is a Backend Developer, Freelance Technical Author, Global AI Ambassador (SwissCognitive), Open-source Contributor in Python projects, Leader of Tensorflow Community India and Passionate AI/ML Enthusiast
|Support CNX Software - Donate via PayPal or cryptocurrencies, become a Patron on Patreon, or buy review samples|