Weibull Distribution Part-1

Dear viewers, we are happy to release this 25th video from Institute of Quality and Reliability! This is the first of our two videos on Weibull Distribution. In this video, Hemant Urdhwareshe explains the basic concepts of Weibull Distribution, its cumulative and probability functions, hazard function and effect of shape parameter on these functions. Hemant also explains the related mathematical treatment briefly. The concepts are explained with an application case study of tires to calculate reliability within warranty period. The video additionally explains calculating probability of failure and reliability using Microsoft Excel functions. The videos would be useful to those who want to learn applicability of Weibull Distribution to estimate reliability and to those who wish to take ASQ CRE, CQE and CMBB certification exams.

[cincyaadi]

This is the best thing that I came across while studying Weibull thanks. Visualization and Derivation helped a lot.

[ashishshrivastava]

Thank you for your videos. It's very helpful for many of us.

[fernandomatosinhos]

Fantastic class!! I am watching from Brazil...Your explanation calmly developing practical exercises it is a fantastic way to clarify to viewers how to use the formulations. Congratulations, dear professor.

[DoWeKnow_World]

Superb explanation with illustration..

[tanweersaiyad]

This is the best explanation of weibull distribution so far I have seen on the internet. Thank you so much sir,

[justanotherchannel]

Watching from Ireland - very helpful demonstration!

[vinothkumars-ql]

At 6:52, The differentiation example shown below need a correction.
diff(e^(a.x^k)) =a.k.x^(k-1).e^(a.x^k) --> k is missing on RHS

[youngmlee]

Excellent explanation of Weibull distribution and reliability analysis. Thanks!!!

[TheSanthoshteja]

Thanks for considering and making video on Weibull sir.

[MohammadBintangRizqiPratama]

Thanks for the explanation, but still i have question. In a real case e.g determining the components reliability of a machine, what is the ß value?

Because sometimes, when it broke, u just need to repair the components and it will run again (basically we use MTBF on this situation), and sometimes when it broke you need to change the components so it would start again (non repairable units, and this we use MTTF). What is the ß value then?

[ashishparasa]

How to find the MTTF mean and median using this weibull distribution pls explain 🙏🏻

[shanmugavelayutham]

Sir, I have 1 doubt, at 5.45 you said for alpha you mentioned shape parameter. but actually Beta is called as share parameter is it? but in excel we have to consider alpha as a shape parameter. is right?

[sumitgharge]

Hello sir can you please tell me how we can find the values of shape parameter and scale parameter??

[dinesh-uwyi]

Sir excellent explination can you tell me how to draw that graphs.

[kerguule]

Hello! If I know the weibull parameters, I can calculate the MTBF using the gamma function and thus the failure rate. How can I calculate MTBF and FR so that the corrective maintenance (e.g. with 100h intervals) is taken into account and thus the FR is lower? Which function takes these into account? Excellent videos, keep up the work!

[solomontekeste]

thanks dear...sorry, I need to study the mean and median of survival time from weibull distribution?
thanks.

[luigi]

Ok so basically β is kind of like an inverse standard deviation for failure over time. The higher it is, the less likely is it to have failures far from the assigned t.

[alaaisraa]

Thank you for this video, please I have a question, how do we estimate the failure function, if I have the number of data exactly 20

[mariyamsiddiqui]

Can you please tell me the book name based on operation research and reliability.

[arifurmollah]

I have a question for you, in colleges and universities, which courses talk about Weibull distribution? Which courses talk about that? Which courses? Another question is which colleges and universities talk about Weibull distribution? Which colleges and universities have that? Which colleges and universities?