This is an educational channel for Robotics, Mechatronics, Mechanical, Computer and Electrical Engineers. Topics included but not limited to, 1. Sensors and Actuators/Motors/Arduino and Raspberry Pi Programming 2. Manufacturing Process/Quality Control 3. Robotics/Mechatronics 4. ABAQUS, COMSOL, SolidWorks Simulation tutorials 5. Statistical Analysis/ Minitab and JMP tutorials, Green Belt Training 6. Machine Vision/ Computer Vision with OpenCV 7. Computer Programming C# and Python 8. Tolerance Analysis / Geometric Dimensioning and Tolerancing (GD&T) 9.Industrial Robots and Programming (Epson, Fanuc, ...) 10. Product Development Process 11. Machine Learning and Data Science 12. PLC Programming (RS Logix, TwinCAT)
Thank you sir.... I was struggled with sone thing , related to moving range charts. Because it' s sample size is = 01 so I could not find M 4 value using table . But your vedio was very helpful to me. Thank you again ❤❤❤
Note 1: @ 11:09 ==> sigma 3 and 5 !!!!, not sigma 4. Note 2: @ 11:21 ==> 0.000277/4 = 0.0006925 and not 0.0006944 !!!! Great video. I learned a lot, but it must be corrected.
few questions towards the explanation here Why used 5 under USL for Non-normal capability analysis Should have also explained when Weibull distribution is not applicable as Box-Cox and Johnson transformation for consideration and when performed the transformation of the data how to interpret or use that data. Not Clear explanation for "How to improve the Cpk value"
How did you calculate the variance that is Sigma^2? = ((0.05-0)^2+(-0.05-0)^2)/(population [2])?? or is this derived from the inspection report from actual measurement?
Hi Bob, Thank you for your tutorials. I'm working on qualifying a new system for my electrode process line. Currently I'm collecting repeatability data for the total amount of powder material that it will transfer to the slurry mixer. Any feeback?
In your example you measure the length of the cam shaft. If I were interested in the min and max diameter of each cam, would I be examining R and x for each individual cam or as a single group ?
According to the MSA manual the "0" needs to be between the confidence interval, and the video says that the reference value is the one that needs to be between the confidence interval... also the formula for the confidence limits is different from the one in the manual... in the manual you have to add/substract the bias with the product of [Standard error of the mean * T value]
@@brandomvillanueva5800 It sounds like the CI for bias. If 0 falls within the bias CI, then it is fair to say for that measurement system is unbiased. But I think if the CI for the true value includes the true value, then the system is also unbiased.
How did you assume the relationship between sigmas for the individual components at the 11:00 mark? Your first video on Process Capability Analysis was great, taken at a nice pace that was easy to follow., and performing each step and explaining in detail was very beneficial to the video. I just watched your videos on measurement system analysis and they weren't as detailed. Still good videos but not as easy to follow and it seems like the explanation and reasoning was skipped for a few steps. I recommend sticking to the style of your first video to maximize the benefit to your viewers. Thank you for your work here, it is greatly appreciated
Hello Mike, did you find the answer to your question? if you did, could you please share your answer. I'm also having questions about the tolerance values presented at the minute 1:37 (x1=0.0004; x2=0.0001; x3=0.009; etc), do you have any clue about how he got this numbers? I'm assuming he got the numbers from a previous analysis done in minitab, and this is the value of the standar deviation from each tolerance component.
@@pablogarcia-to7vv Here is how I interpret it. The tolerance on the left are design tolerance which is required by the designer. They indicate the part upper and lower limits to be an NG part. The stdev on the right was calculated from CPK he said. For example one spec's design tolerance is +/- 0.1. The CPK given by supplier is 1.5 so the dimension stdev is (0.1+0.1)/6/1.5=0.02
