It's amazing how I'm working on a ML thesis project while interning at an OEM, and I stumbled upon this video which was literally released a couple of hours before. Talk about UA-cam's Recommendation System, Bravo.
2:46 Everytime u breakApart/assembly an complex object, it has a risk to be not the way its before u fiddled with it. The More parts , the more youll likely to mess up.
It's amazing how I'm working on a ML thesis project while interning at an OEM, and I stumbled upon this video which was literally released a couple of hours before. Talk about UA-cam's Recommendation System, Bravo.
I am doing my phd in AI based conditions monitoring and this video summerizes my literature review in 20 mins. Great work 🎉
Good luck with your PhD )
Lovely. I would love to see your work. Looking forward to Phd Program touching on maintenance, project management and disaster management.
Great Stuff. As a IT SRE I find this information very informative.
Brilliant work!
Brilliant work
Very good knowledge dissemination lecture
This video is sooo well done.
Wow that was amazing 🤩 thank you guys
Glad you enjoyed it
amazing video, great explanation, thank you
Thank you for the video.
I have a question, is there any benchmark that has historical time-series data of some sensors to use in my work?
Interesting how i just recieved a proposal from a Defence hardware manufacturer to integrate/build predictive maintanence into their hardware
2:46 Everytime u breakApart/assembly an complex object,
it has a risk to be not the way its before u fiddled with it.
The More parts , the more youll likely to mess up.
What techniques can you se to predict RUL when you have thresholds?
One of the common ways is to use various time-series-based degradation models.
15:38 besides the fact that we love aviation,
we wouldn't want to be inside that machine when it crashes down.
hahahaha, at lease Elon is billionaire. while you, still content creator thru youtube and consultancy job, you havent reached 1billion worth