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.
Statistical Hypothesis and its Verification:
This learning element will learn students, how to verify measured (gathered) data, analyse its variation and create hypothesis, based on this data distribution. Second part of this element is learning how to test this hypothesis and prove it, using statistical methods.
PMIng.U4.E3.PC1
Measured data variation:
Student knows how to represent measured data on diagram and understand variation of this data.
PMIng.U4.E3.PC2
Special and common causes of variation:
Student is able to identify potential sources of data variation and quantify causes of them.
PMIng.U4.E3.PC3
Identification of variation sources:
Student knows RCA tools helpful to identify, screening and verify causes of data variation.
PMIng.U4.E3.PC4
Null Hypothesis:
Student know what is Null Hypothesis and is able to calculate probability p-value for normalized data, and decide of hypothesis result based on them.
PMIng.U4.E3.PC5
Hypothesis testing trust level:
Student knows and understand what means 95% confidence boundaries, according to distribution of sample means.