Hardware for matlab connectivity

Hi, sorry if this is the wrong forum. I have written some software for vibration data acquisition and analysis. It uses matlab for the basic hardware connectivity. It works with NI, DT and Virtins hardware. You can check it out at industrialvibes.com. I would like to add arduino to the list, if it is doable. Can you recommend the most appropriate hardware? The requirements would be:

  • matlab drivers available
  • can drive IEPE sensors
  • Can do high sample rates with multiple sensors synchronously. The other hardware I use can typically sample at 50 kHz, but it is very expensive. Even a 200 Hz sample rate would probably be useful in a lot of applications.

Thanks in advance

What would the Arduino do?

Power the IEPE sensors, analog to digital conversion, send the data to the laptop.

Can you not use the existing Mathworks package for Matlab+Arduino, which among other things, performs analogRead() and collects the results?

Yeah, that is sort of the plan. Apologies, let me take a step back and explain that I am completely unfamiliar with Arduino products, so I don't really know where to begin or whether this is possible.

If the only task the Arduino has to perform is analogRead(), then you can probably just use the MathWorks package. The Arduino can provide 5V and 3.3V power to sensors.

A number of people have used Arduinos interfaced with consumer grade accelerometers to collect vibrational analysis data (several kHz data rate), but that requires device libraries which are probably not built into the MathWorks package.

Recent article on the topic: https://www.sciencedirect.com/science/article/abs/pii/S2214785320388702

To avoid the ridiculous paywall, request fulltext from the authors: https://www.researchgate.net/publication/348055858_Analysis_and_control_of_the_motor_vibration_using_arduino_and_machine_learning_model

Thanks J. IEPE sensors require up to 30V DC power supply I think, and they need special circuits to maintain a fixed current (typically 2mA) through the sensor. I could not figure out the exact hardware they used for that paper.

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