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.


Probability functions and its Applications:

This learning element will show the Students few types of probability function, which can be used to work with statistical machine data. In this element student will now a difference, between probability distribution and probability density function. Also, in this module student will find explanation of discrete and continuous variables.

PMEx.U4.E7.PC1
Basic probability functions:

Student knows and is able to explain basic terms of probability function, like: mode, support, head, tail, expected value, median, variance, standard deviation, skewness, symmetry and kurtosis.
PMEx.U4.E7.PC2
Discrete functions:

Student knows and is able to list probability functions for discrete variables. F.e.: PMF (Probability Mass Function) or Frequency Distribution.
PMEx.U4.E7.PC3
Continuous functions:

Student knows and is able to list probability functions for continuous variables. F.e.: PDF (Probability Density Function) or Cumulative Distribution Function.
PMEx.U4.E7.PC4
Probability functions applications examples:

Student understand and can give some examples which kind of function are or can be used in Predictive Maintenance.