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.


Weibull Distribution:

This learning element shows another type of data distribution (Weibull), which is used to assess product or element reliability. This kind of distribution is used for analysing life cycle data and modelling failure occurrence times. In this module student will know the distribution especially dedicated to failure prediction analysis.

PMEx.U4.E3.PC1
Weibull distribution function:

Student know how to calculate probability density function for Weibull distribution and represent it on graph (plot).
PMEx.U4.E3.PC2
Weibull distribution parameters:

Student is able to explain what means shape parameter (beta) for Weibull distribution.
PMEx.U4.E3.PC3
Advanced features of Weibull distribution:

Student knows how change of Weibull parameters affect shape of distribution diagram.
PMEx.U4.E3.PC4
Weibull distribution applications:

Student is able to list few examples where Weibull distribution can be used to. (f. e.: Lifetimes of medical and dental implants, Components produced in a factory like bearings, capacitors, or dielectrics, warranty analysis and other areas where time-to-failure is important