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.
Design of Experiment:
This learning element will show how to, using DOE tool, verify statistical data from machine or process. Student will know methods of detection and quantify interactions, between machine/process control factors. It shows also how to build predictive models for system behaviour and optimisation.
PMEx.U4.E9.PC1
DoE idea:
Student understand and is able to describe what is DoE and where it can be applied.
PMEx.U4.E9.PC2
DoE model definition:
Student can prepare simple predictive model for machine with definition or proper identification of all inputs (X) and outputs (Y).
PMEx.U4.E9.PC3
Statistical model transfer function:
Student knows methods (f.e. Regression) to calculate and quantify relationship between Xs and Y for created model. (Transfer function)
PMEx.U4.E9.PC4
Statistical model optimization:
Student knows how to reduce predictive models using Pareto method.
PMEx.U4.E9.PC5
Validation DoE:
Student knows method of validation predictive models using residual calculation and graphs.