MOOC - Predictive Maintenance Engineer
Advanced Statistics and Mathematics.
Fourth Unit is a part of learning material which introduce mathematic statistic into preventive maintenance process. In this unit, students will know some advanced statistical tools, which they will use to analyse historical machine data and predict their future behaviour.
Normal (Gauss) Distribution:
This learning element will show the students what is a normal (Gauss) data distribution.
It shows how to build distribution graph and assess data according to their variation (if they fit the pattern or no). In this module student will know how to recognise data normality.
PMIng.U4.E2.PC1
Data collecting:
Student is able to gather measured data and prepare it to present as normal distribution graph.
PMIng.U4.E2.PC2
Different kinds of distributions:
Student know patterns of another data distribution examples (Chi-squared, Binomial, Exponential)
PMIng.U4.E2.PC3
Normal distribution parameters:
Student is able to calculate and recognize, where on graph, are located values of median, mode and mean.
PMIng.U4.E2.PC4
Data normalization:
Student understand data variation and how to quantify it to the normal data.
PMIng.U4.E2.PC5
Advanced parameters of normal distribution:
Student understand and know concepts like: spread, probability area and 3sigma, according to normal distribution.