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How to Use Machine Learning for Predictive Maintenance 

RealPars
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▶ Head on over to bit.ly/3S0JlLn to learn more about Edge Impulse.
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This video teaches you how machine learning can be used for predictive maintenance using a simple example. You don't need to have an engineering background to understand the concept. It’s very basic!
As Machine learning is playing a more important role in developing advanced industrial applications these days, here at RealPars, we are planning to develop new courses and videos around this topic.
To make sure that these new courses are created with the highest quality possible, we are glad to announce that RealPars has recently formed a partnership with Edge Impulse.
Edge Impulse is the best-in-class edge machine learning platform in the world.
Based on this new partnership, RealPars and Edge Impulse will team up to create easy-to-follow new courses and videos on new machine learning technologies for all of you technicians and engineers active in the industrial world. for all of you engineers and technicians active in the world of industrial automation.
So stay tuned for more videos and courses on this topic. and if you want to learn more about Edge Impulse you can head on over to bit.ly/3Sitfg4.
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Опубликовано:

 

20 сен 2022

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Комментарии : 31   
@kenbourke8016
@kenbourke8016 Год назад
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.
@samalfellah2066
@samalfellah2066 Год назад
That's great , looking forward for the new courses as machine learning is becoming an integral part of multiple industries
@realpars
@realpars Год назад
Thank you, Sam!
@Ayman-ezzaki
@Ayman-ezzaki Год назад
Realpars just freaking rock ,thats awesome
@realpars
@realpars Год назад
Thank you so much, Ayman!
@vstar1335
@vstar1335 Год назад
Great video! Thanks.
@realpars
@realpars Год назад
Glad you liked it!
@shamsiqamar7610
@shamsiqamar7610 Год назад
This is very informative lecture. Thank you very much sir.
@realpars
@realpars Год назад
You are most welcome, Shamsi!
@mohammedalbayati6617
@mohammedalbayati6617 Год назад
Congratulations! Real parts is heading to an interesting direction!
@realpars
@realpars Год назад
Thanks for your feedback, Mohammed!
@mohamedheshamsoliman3195
@mohamedheshamsoliman3195 Год назад
Hope to see more videos on this topic!
@realpars
@realpars Год назад
More to come! Thanks for your support, Mohamed!
@judahking6776
@judahking6776 Год назад
RealPars u 4 the best !!!
@realpars
@realpars Год назад
Thanks a million!
@AlexandreSantos-gg9il
@AlexandreSantos-gg9il Год назад
RealPars is best in the world, from Brazil.
@realpars
@realpars Год назад
Thanks a millino, Alexandre!
@kevinkshaji
@kevinkshaji Год назад
Wait, isn't it the same as generating alarms based on tolerance?
@realpars
@realpars Год назад
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.
@luciddream2033
@luciddream2033 Год назад
Can you make detailed video on siemens kinematic tech objects? I think you would make an interesting video.
@realpars
@realpars Год назад
Thanks for your topic suggestion! I will happily go ahead and pass this on to our course developers.
@wtomas250
@wtomas250 Год назад
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
@wtomas250
@wtomas250 Год назад
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.
@AR-gq6rq
@AR-gq6rq Год назад
@@wtomas250 we don’t ever consider Vibration normal specially at high speed ⚠️
@bahadirm
@bahadirm Год назад
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.
@miguelzavaleta9391
@miguelzavaleta9391 Год назад
I think the point of this is for the model to adapt on its own to changing situations, otherwise you're right.
@mansoor.r7251
@mansoor.r7251 Год назад
Dear sir please post the resolver or RVDT Video
@realpars
@realpars Год назад
Thanks for your suggestion, Mansoor! Happy learning
@abulfazibrahimov1990
@abulfazibrahimov1990 Год назад
👍
@Jorge_AS_Fernandes
@Jorge_AS_Fernandes Год назад
Hope to see more videos on this topic!
@realpars
@realpars Год назад
Thanks for your feedback, Jorge! I will happily go ahead and pass that on to our course developers. Happy learning!
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