Correction: Between 2:59 - 3:16, the fluid viscosities shown in the image on the right should be swapped: high viscosity for Alaska, low viscosity for Texas.
This is glorious, been searching for "computer maintenance contract agreement examples" for a while now, and I think this has helped. Have you heard people talk about - Peanlivory Singular Predominance - (do a google search ) ? It is a great one off product for discovering how to learning how to start a successful handyman business minus the hard work. Ive heard some unbelievable things about it and my cousin got amazing results with it.
Thanks for sharing this. I am new in this subject but I need to know if there is any toolbox used to extract features using Matlab and some examples on it? Regards
Hi, Predictive Maintenance Toolbox lets you develop predictive maintenance algorithms for your system. The toolbox includes the Diagnostic Feature Designer app that lets you extract features. You may want to check out the part-4 video where we demonstrate how you can use Diagnostic Feature Designer app for feature extraction: th-cam.com/video/oDd7aEmRNpI/w-d-xo.html Here's another video about the Diagnostic Feature Designer: th-cam.com/video/W5ljkIIz6gQ/w-d-xo.html Also find more information on the Predictive Maintenance Toolbox product page: www.mathworks.com/products/predictive-maintenance.html
what machine learning or deep learning algorithms are most relevant in predictive maintenance, like for mechanical machinery? I want to focus on them. thank you in advance.
I am guessing it would be time series data of some sort. You should therefore probably either use a CNN or RNN though amazon recently published a paper stating that they had the most luck with CNN's with attention, rather than using RNN's. The CNN could also be used on the frequency domain data. You could fx say that you keep like 2048 samples back in time, use fft on that, and then use the fft and time domain data as your dataset to train on.
Hi Aaron, can you tell me a bit more on what you're referring as documentation. If you're looking for the transcript of the video, you can find it on this page: www.mathworks.com/videos/predictive-maintenance-part-1-introduction-1545827554336.html And for additional information on predictive maintenance, please check out the links given in the video description.
Correction: Between 2:59 - 3:16, the fluid viscosities shown in the image on the right should be swapped: high viscosity for Alaska, low viscosity for Texas.
Can you traduction your vidéo in langue français
m.th-cam.com/video/8V39PhHFHn8/w-d-xo.html
This is glorious, been searching for "computer maintenance contract agreement examples" for a while now, and I think this has helped. Have you heard people talk about - Peanlivory Singular Predominance - (do a google search ) ? It is a great one off product for discovering how to learning how to start a successful handyman business minus the hard work. Ive heard some unbelievable things about it and my cousin got amazing results with it.
Thanks, this instruction give me a new concept between the Predictive maintenance(PvM) and Machine Learning(ML).
Nice discussion about type of machine maintenance, thank you for sharing technical knowledge
Thanks for watching! Glad it was helpful.
Shouldn't there be an input parameter for the age of the parts and another for how many hours the system has run?
Such a detailed video. Thanks a lot
Thanks for sharing this.
I am new in this subject but I need to know if there is any toolbox used to extract features using Matlab and some examples on it?
Regards
Hi, Predictive Maintenance Toolbox lets you develop predictive maintenance algorithms for your system. The toolbox includes the Diagnostic Feature Designer app that lets you extract features. You may want to check out the part-4 video where we demonstrate how you can use Diagnostic Feature Designer app for feature extraction: th-cam.com/video/oDd7aEmRNpI/w-d-xo.html
Here's another video about the Diagnostic Feature Designer: th-cam.com/video/W5ljkIIz6gQ/w-d-xo.html
Also find more information on the Predictive Maintenance Toolbox product page: www.mathworks.com/products/predictive-maintenance.html
Great video 👍
As bayrakları as as as :) Great video. Thanks.
:) haha tam şey yazacaktım, Anlatanın Türk olduğuna yemin edebilirim ama ispatlayamam. :)
Damn Matlab. This is a great presentation. I've learned so much. Thank you
Thanks! great videos about predictive maintenance :))
what machine learning or deep learning algorithms are most relevant in predictive maintenance, like for mechanical machinery? I want to focus on them.
thank you in advance.
I am guessing it would be time series data of some sort. You should therefore probably either use a CNN or RNN though amazon recently published a paper stating that they had the most luck with CNN's with attention, rather than using RNN's. The CNN could also be used on the frequency domain data.
You could fx say that you keep like 2048 samples back in time, use fft on that, and then use the fft and time domain data as your dataset to train on.
@@Music_Engineering autoencoder, serch for anomaly
Nice, it was of great help
please share predictive maintenance calander
Can you elaborate on what you mean by predictive maintenance calander?
Where can I get documentation about this video? Thanks.
Hi Aaron, can you tell me a bit more on what you're referring as documentation. If you're looking for the transcript of the video, you can find it on this page: www.mathworks.com/videos/predictive-maintenance-part-1-introduction-1545827554336.html
And for additional information on predictive maintenance, please check out the links given in the video description.
here
This is helpful
Thanks
Hi I like your video
Thanks!
Good !
한국어 자막. 압도적 감사
Nice video. Thank you for sharing. BTW, you are very beautiful 😍
That's good mam, we make similarly topic video so , let's we make yotube friend
nice
I love you lady
Mam u r beautiful.