Looking forward to seeing more ML content from RealPars. It seems like ML is going to change the way we approach maintenance but there are very few practical resources to learn about ML in industrial automation.
@JoseEnriqueEstarlichPera-wx7yyАй бұрын
Thanks for the video. Short and direct, perfect for my students
@realparsАй бұрын
Glad it was helpful! Happy learning✨
@Space_Tour12 жыл бұрын
That's great , looking forward for the new courses as machine learning is becoming an integral part of multiple industries
@realpars2 жыл бұрын
Thank you, Sam!
@Ayman-ezzaki2 жыл бұрын
Realpars just freaking rock ,thats awesome
@realpars2 жыл бұрын
Thank you so much, Ayman!
@Jorge_AS_Fernandes2 жыл бұрын
Hope to see more videos on this topic!
@realpars2 жыл бұрын
Thanks for your feedback, Jorge! I will happily go ahead and pass that on to our course developers. Happy learning!
@AlexandreSantos-gg9il2 жыл бұрын
RealPars is best in the world, from Brazil.
@realpars2 жыл бұрын
Thanks a millino, Alexandre!
@mohammedalbayati66172 жыл бұрын
Congratulations! Real parts is heading to an interesting direction!
@realpars2 жыл бұрын
Thanks for your feedback, Mohammed!
@vstar13352 жыл бұрын
Great video! Thanks.
@realpars2 жыл бұрын
Glad you liked it!
@judahking67762 жыл бұрын
RealPars u 4 the best !!!
@realpars2 жыл бұрын
Thanks a million!
@kevinkshaji2 жыл бұрын
Wait, isn't it the same as generating alarms based on tolerance?
@realpars2 жыл бұрын
Yes and no. If you are able to know the "normal" value of the parameter before running the equipment, then yes, tolerance would be the guideline for determining a problem. For new equipment, or processes where the conditions are dynamic, machine learning (modelling) can be very useful to determine the behavior of the machine in normal operation. But in either case, detection of a condition outside of the expected range will lead to an alarm, or alert.
@shamsiqamar76102 жыл бұрын
This is very informative lecture. Thank you very much sir.
@realpars2 жыл бұрын
You are most welcome, Shamsi!
@lilnickproductionАй бұрын
Perfect
@wtomas2502 жыл бұрын
Except that it isnt that obvious when a motor is deviating from its optimal value, usually, for a point to be that far from the normal operation point, what you require is not a predictive maintenance, is more about corrective maintenance and replacing failing pieces that already damaged the motor
@wtomas2502 жыл бұрын
Most of the time, you require more expertise to be able to tell if a parameters is an anomaly, perhaps the same vibration could be considered normal at high speed and an anomaly at low speed.
@Ab01-p6p2 жыл бұрын
@@wtomas250 we don’t ever consider Vibration normal specially at high speed ⚠️
@luciddream20332 жыл бұрын
Can you make detailed video on siemens kinematic tech objects? I think you would make an interesting video.
@realpars2 жыл бұрын
Thanks for your topic suggestion! I will happily go ahead and pass this on to our course developers.
@mansoor.r72512 жыл бұрын
Dear sir please post the resolver or RVDT Video
@realpars2 жыл бұрын
Thanks for your suggestion, Mansoor! Happy learning
@vijaykumar-m5p4s4 ай бұрын
Predictive maintenance tools foresee equipment failures before they occur. SmythOS incorporates these tools to improve maintenance schedules and reduce downtime. #PredictiveMaintenance #ManufacturingAI #SmythOS
@bahadirm2 жыл бұрын
I still don't see the benefits of machine learning, if I can only use a single check, eg. IF (Sensor_A > 7) OR (Sensor_B > 7) THEN ... Or if I want to prevent false alarms, then I'd use rising triggers and a counter.
@miguelzavaleta93912 жыл бұрын
I think the point of this is for the model to adapt on its own to changing situations, otherwise you're right.