Відео

@@Tourdeglobe hello, Thank you for reaching out. But I don't think I have any videos specific to nuclear power plant fault diagnosis. The closest video you can find is on fault diagnosis of industrial process: ua-cam.com/play/PLoSULBSCtoffIldbr898SDp5gIqo8XL-t.html&si=nbh04Qq05yOP4fmT

@@Tourdeglobe hello, Thank you for reaching out. But I don't think I have any videos specific to nuclear power plant fault diagnosis. The closest video you can find is on fault diagnosis of industrial process: ua-cam.com/play/PLoSULBSCtoffIldbr898SDp5gIqo8XL-t.html&si=nbh04Qq05yOP4fmT

@@Mohankumardash Thank you sir

Sorry for the confusion. It is the same file that was created in the previous video, but it has been renamed. Important thing is it should have the RUL column. It is obtained by subtracting current cycle from EOL cycle

@@harshitakhatri9002 In France there are two types of job contracts, CDI and CDD. CDI is for permanent position and CDD is fixed duration position. Usually CDD are easier to find, especially in the form of Postdocs in and around France. But the issues is you will need to renew it every year. If the lab doesn't want to renew it you will have to look for another opportunity. So your are always on the edge of uncertainty. For CDI, there are public position like becoming a Professor or Researcher in university or labs. But here the competition is very high, usually you will be competing with people with 4-5 years of postdocs and 20-30 journal publications. Finally comes an industry job, where you need a good french fluency and a relevant company who values your research. To sum it up, there will be struggle but maybe not as much as you would have to do in india after a PhD

@@lab-test2601 Hi, to calculate the residual signal first you have to obtain an redundancy relation for your system dynamics. This is the fancy way of saying, you will have to find the governing equation such as Kirchhoff's law, newton's law, Bernauli's law etc. If you have a simple L, R circuit with a voltage source of V. The ARR: V - L di/dt - R i = 0 In this equation you know the parameter values such as L, R and the input source V. Then bu using one current sensor you can obtain the 'i' and plug in this equation with time to get the residual signal. Ideally it should be zero if the system is in healthy state. But even in healthy state you get little bit deviation because of the temperature, humidity etc that influence the parameter values. If in your system, the R is faulty (if it's value increases or decreases than nominal) then the right hand side of ARR won't be zero anymore, that's how you detect the fault

@@Mohankumardash Thank you! so much. di/dt is zero or ?

@@lab-test2601 welcome 😁. No not always you have to calculate it everytime by i_(t+1) - i_(t)/ ∆t

Absolutely I will !

Soon soon

Thank you very much for your support 😊

@@AmpedUpWithKrishna , Thanks for your question. I encourage you to look into the first video of the series to know the details about the dataset and how they are extracted: ua-cam.com/video/iCTU-IZ6rPQ/v-deo.htmlsi=sW3XTc79aECBq4LM.

@@Mohankumardash ok Thank you!

I am happy to know it helps you

Hi, thanks for the questions. So for if one feature in your model is constant throughout, then it'll not have any discriminative power. This means the standard deviation is zero (no variance) for this feature. We want those features, who have a high variance to train a model. This gives an indication that, this feature changes when the fault condition changes (it's not always true). But it is a good starting point to ignore the features having very low or zero standard deviation

@@Mohankumardash alright understood thank for clarifications😃

@@lucysii6085 I am glad 😊

Hi Suresh, I am glad you liked it. I already uploaded a few videos on patchcore. You can check them out, and one more video will be released today on patchcore. I am very glad you found them interesting, I will keep posting new videos about the state of the art algorithms. I request you to share my videos on LinkedIn or with your peers if you think, it will help them.

Hi Gajendra, thanks for your feedback. I would like to ask you, what more I can add to these videos to make it an end to end project. As I am an AI researcher, I mostly dela with model training and trying out new methods. According to you, what would make this an end to end project?

@@MohankumardashI appreciate the efforts on channel, you have a lot of knowledge about AI and ML. i was talking in general like a playlist where you can put videos in which one can see diff end to end projects. although your content is nice

Thank you, they will be uploaded soon.

Thank you very much

Definitely. soon I will upload new videos on my thesis.

I don't think so. Because the pertained resnet model is trained on image data, it won't perform good for bearings

@@Mohankumardash Thank you. I watched the CNN 3D model video. I use it to generate 300*300 image dataset with PMSM engine and process it with image CNN model. I find it effective. I see this video converts grayscale images to color images. So I don't know if I can or not

@@shenjgaming2988 I can't say for sure but you should try it out and see if it works or not. All the best

@@Mohankumardash Thank you sir. Your videos have helped me a lot

Thank you. I am currently working on such models, when they will be ready, I will publish them, definitely 😁

Glad you think so!

Thanks!

Thanks a lot

Thank you very much.

Possible, but it has less prediction accuracy

@@Mohankumardash actually I am facing error on further process

@@_Pramey you can write the details of your error here, I will try to help you out

I am facing error after 3:20 min

@@Mohankumardash before df.reshape

Hi, how can I help you?

I don't have access to DC arc fault data. But you can check on kaggle for such dataset

Hi, I am not sure what could be the issue here. If you can post a snippet of the code here of your implementation, I may be able to help.

Hi feel free to book an appointment using the link given in the description of the video

@@Mohankumardash Thank you for your quick responce and am in librery now could i contact you leter?

@@Mohankumardash Thank you I will Schadule it.

You're welcome

Thank you very much for your support. Keep watching my videos and share with your colleagues.

Thank you sarani

Good question, and nice observation. Here during the training we are not using any labels. That's why we are calling it unsupervised method. And secondly, the labels are just used for the visualization of the performance in different fault scenarios. However the label information is not used

@@Mohankumardash Thank you! hey btw your resources are really useful, thanks for sharing these videos and your more practice-focused FDD videos, usually the transition from theory to practice tends to be difficult.

@@thedarknazo i am glad you find them helpful

Thank you very much