yes sir, … there is solid proof that we are monitoring the motor for some reason…
The fact that you need to know about WISE-2410
- per wise-2410 has 24 health score-related parameters (X, Y, Z) + 17 tags =41 tags
- most of the time wise-2410 is in sleeping mode, wakes up, and sends the data per cycle mins. That’s why it the battery sustains up to 1.5 years (15mins/send)
- WISE-2410 embedded with computing chips, where the x,y,z velocity raw data will be calculated
- iFactory PHM I.App uses those 24 parameters to monitor the health score of this motor.
But Where is AI?
**ll, the PHM model is learning through 200 sets of initial vibrates data and creates a “baseline health condition” model, **
**A secret that R&D told me that they use `"Meta-learning algorithm“. , yes you can google it, not a big science discover though. but indeed, this solution is suitable for
- the facility engineer who doesn’t understand complicated vibrates raw data & spectrum
- quick install, easy configure and enjoy the one-stop deploy AI, this is the one.
- monitoring the facilities and make sure it won’t go wrong in any days.
who might not favor
- need to always read x,y,z raw spectrum data, to discover some pike or flaw within the drawing.
- need to monitor versatile speed motors, like CNC, Cutting machines, robots, …LoraWan, and our PHM is not suitable for this type of project. we focus on steady-run facilities
- require PHM to be compatible with third-party sensors, our PHM is a pre-build model, with no flexibility to connect non-Advantech vibrate sensors.
to learn more, watch Henry explain about why we develop PHM with Advantech’s excellent H/W:
leave the comments to let me know if you want to download the sales kit 
