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.
Methods of Function Optimization Basic and Linear:
This learning element will present students methods of mathematical function optimization. For predictive maintenance data analysis, student must know about two methods: basic and linear. This learning element must present equations and graphic representation of those two methods and explain difference between them.
PMEx.U4.E5.PC1
Optimization definition:
Student can define what means Mathematical function optimization and where it can be applied according to industrial environment.
PMEx.U4.E5.PC2
Extremum and trends:
Student knows and can calculate local function minimum or maximum and can define function trend based on it. Student understand how trend of function represent data variation and is able to explain machine/part behave based on this data.
PMEx.U4.E5.PC3
Linear optimization:
Student understand how to define linear function for problem and can calculate minimum of waste or maximum of profit based on defined function example.
PMEx.U4.E5.PC4
Optimization examples:
Student can list areas of decision-making process where linear programming can be applied, f.e.: finance, production, operating management, human resource etc.
PMEx.U4.E5.PC5
Graphical method of linear optimization:
Student knows how to use graphical solution method for linear optimization.