1D-CNN for Bearing Vibration || Deep Learning for Bearing Condition Monitoring || Part-3

[@samuelgbashi8969]

Your videos have been very insightful. I deeply appreciate your effforts. This presentation has helped me in my PhD program. So grateful!

[@Mohankumardash]

Thanks for the compliment. ☺️

[@shannatheragamuffin..743]

Great Concept of kernel size variability to capture sin waves of bigger wavelength. I work with signal data too and this large kernel size was cooking in my mind as well vs small kernel size for images in 2D CNN.

[@shortbestscene3815]

Very interesting and helpful . Please do more vedio on this

[@shenjgaming2988]

This is a great video. Can I contact you to learn from your experience

[@Mohankumardash]

Sure, you can contact me over linkedin

[@shortbestscene3815]

Do more like- attention mechanism for machine fault diagnosis

[@Mohankumardash]

I will definitely try to do more of these

[@wilsonm9944]

Great job. Can we get the code please

[@Mohankumardash]

Thanks for the compliment. U Can find the code in the GitHub link given in the description

[@AjaySharma-ur7qq]

I have taken the same code and same data as you have taken , but when you are making Confusion Matrix then your Confusion Matrix is ​​filled with data, meaning it shows that in normal condition the accuracy is 1, there is something else in the inner race but when I When I am performing the same data and code, I am getting only 1 row in the Confucian Matrix, that too the top one, the remaining 13 are coming blank, no data is coming in it, will you help me?

[@redil00007]

bhai mere data work nhi kr raha apke code pe

[@redil00007]

ualt deduction in ball bearing ka data dya hua CNN ALOGARITHM LAGA KR accuracy nikal ni he sahi accuracy