Predictive Maintenance Expert

MOOC - Predictive Maintenance Expert

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.


Statistical Inference:

This learning element describes this part of statistic where result of experiment (on random samples) is translated to whole population with estimation of sampling error. These elements include also information about statistical modelling, assumptions and validation of statistical model.

PMEx.U4.E8.PC1
Basic concept of statistical inference:

Student knows idea of statistical inference and is able to explain terms of: sampling, point estimation, confidence interval, 95% credible interval.
PMEx.U4.E8.PC2
Statistical models:

Student is able to define some simple statistical model based on data from measurement.
PMEx.U4.E8.PC3
Model assumptions:

Student understand model assumptions and can define which parameter they depend on.
PMEx.U4.E8.PC4
Model validation:

Student is able to verify (validate) those assumptions and calculate estimated data distribution.