May you live long to radiate the knowledge, benefitting generation to come
@instituteofqualityandrelia79024 жыл бұрын
Thank you so much Amlan for your wishes and appreciation!
@Doctor-Lean5 ай бұрын
Thank you so much for sharing the VDO so, I request training apply concern with heuristic model if possible to sharing concept.
@instituteofqualityandrelia79025 ай бұрын
Thank you for your suggestion. Kindly clarify your expectations.
@M1urr3 жыл бұрын
I have a question about the failure-free time. In the video you mention batteries, tires, roller bearings... (see 7:31). Is there a scientific publication for one of the mentioned examples, in which it was physically justified why a failure-free time exists? Often a failure-free time is only confirmed by statistical analysis but I am looking for an example with a physical explanation. Do you know an example of this? Thanks a lot and great video!
@instituteofqualityandrelia79023 жыл бұрын
Thanks for asking a very good question! Technically, there is always a "small" probability of failure till the "failure free life". However, in some cases, such as fatigue, failure is very unlikley at low number of cycles. So fatigue failure modes may have failure free life. A new tire is unlikely to fail due to wear. So for wear failure mode, there can be failure free life. Hope this helps!
@sunnyj1967 Жыл бұрын
Great Stuff. Cheers.
@uhemant1 Жыл бұрын
Welcome! My pleasure!
@TheSanthoshteja4 жыл бұрын
Thank you sir, I have been waiting for this
@uhemant14 жыл бұрын
Thanks. Appreciate your interest! Your feedback is welcome.
@asiftthottathil Жыл бұрын
Thank you very much Sir for both part 1 and part 2 video of the Weibull Distribution. This video was very helpful to learn and know more about Weibull distribution. Are log-normal distribution and Rayleigh distribution the same? Given a beta value of 2 at 5.51, it shows that it follows a log-normal distribution. But doesn't the resulting pdf indicate the Rayleigh distribution?
@instituteofqualityandrelia7902 Жыл бұрын
Thanks for your question. It should be actually Rayleigh and not lognormal. I will clarify in the description. Apologise for the error and late response to your question.
@MrSaemichlaus4 жыл бұрын
Thanks for your presentation!
@instituteofqualityandrelia79024 жыл бұрын
Glad it was helpful!
@sudhansugrahacharya70944 жыл бұрын
Sir weibul can represent almost all the distributions. Is it a good approach to consider weibul distribution in every data
@instituteofqualityandrelia79024 жыл бұрын
Weibull, Exponential and lognormal are the most commonly used distribution in reliability life data analysis. Normal is not very appropriate as it extends to -infinity while as failure time cannot be less than 1. Exponential is special case of Weibull with shape parametre of 1.
@everestyoung56182 жыл бұрын
Well, try to use the Weibull probability plot to find out whether that data's distribution represents the Weibull distribution.
@ambersingh3280 Жыл бұрын
What if I want to calculate the MTTR using the weibull distribution and I also want to specify lower and upper boundaries..?
@instituteofqualityandrelia7902 Жыл бұрын
Weibull Distribution is used when failure rate (and therefore MTTF) varies with time. So the upper and lower bounds may not be greatly useful as these are time dependent.
@sumitgharge12986 ай бұрын
Hello sir can you please tell me how we can find the values of shape parameter and scale parameter??
@instituteofqualityandrelia79026 ай бұрын
Thank you! Please watch my video on how to estimate beta and eta parameters using probability plotting. Here is the link: kzbin.info/www/bejne/mqTYfYmJZ96Earcsi=i7saq3ej5S-wkYKk
@sumitgharge12986 ай бұрын
@@instituteofqualityandrelia7902 Thank you very much sir..
@sudhansugrahacharya70944 жыл бұрын
What is the minimum sample size we should consider to determine the distribution of any data, considering the cost and other constraints.
@instituteofqualityandrelia79024 жыл бұрын
There are thumb rules suggested by experts. A suggested number is at least 20+. Of course, the larger the sample size, better it is but as you mention, cost and time constraints are important. For normal, it is generally 30+.
@dileepmathews854 жыл бұрын
Hi Hemanth, is characteristic life same as the useful life of a product?
@instituteofqualityandrelia79024 жыл бұрын
Thanks for your question and keen interest. The characteristic life is NOT same as useful life! Characteristic Life is time by which 63.2% parts are expected to fail and ! Characteristic Life is used in Weibull Distribution mathematical equation and calculationns.
@benghuatlaw19642 жыл бұрын
Hi Hemant, may i seek your help, on how to estimate weibull shape parameter for 70% confidence (one sided LCL) by using chi square method
@instituteofqualityandrelia79022 жыл бұрын
Thanks. But I am unable to understand your question. Apologise.
@benghuatlaw19642 жыл бұрын
@@instituteofqualityandrelia7902 my question if we would like to apply one sided confidence interval for weibull shape parameter, is there a method?
@estevenofre45094 жыл бұрын
Congrats! I miss a video how to calculate Beta, Delta and Eta... to link those videos! Regards!
@instituteofqualityandrelia79024 жыл бұрын
Do you need any clarification?
@kumarvel23203 жыл бұрын
Beta calculation method not addressed in the training