PMIng.U1 Introduction to Predictive Maintenance
  • This learning element shows students main areas of knowledge which is used to provide all activities according to predictive maintenance actions. It i
  • What is Predictive Maintenance?
  • History of Predictive Maintenance and Future Directions
  • Predictive Maintenance Use Cases
  • Factory real life examples
  • Role of prediction in modern approach to maintenance planning in Plants/Enterprises.
  • This learning element classify typology of machine failures, describe machine different work conditions and introduce students to theory of reliabilit
PMIng.U2 Basic Mathematical Knowledge.
  • Equations, Functions and Graphs
  • Limits, Derivatives, Differential and Integral Calculus
  • Vectors and Matrixes.
  • Probability, Statistics and Distribution.
  • Algorithms and Complexity
PMIng.U3 Data Science Fundamentals.
  • Introduction to Data Science Process
  • Data Acquisition
  • Data Cleansing and Transformation
  • Storing Data: Compression, Relational Databases, Special Databases
  • Data Validation and Exploration
  • Data Visualization Methods
  • Data Security (Encryption)
  • Data Science Tools and Technology
  • Experimental Data Analysis and Modeling
PMIng.U4 Advanced Statistics and Mathematics.
  • Introduction to Statistical Methods in Engineering
  • Normal (Gauss) Distribution
  • Statistical Hypothesis and its Verification
  • Methods of Function Optimization Basic and Linear
  • Conditional expected value and Bayesian inference
  • Probability functions and its Applications
PMIng.U5 Advanced Predictive Maintenance
  • Computer Programming
  • Communication Networks (TCP/IP, WiFi, Bluetooth, Serial Protocols)
  • Industrial Networks (PROFINET, Ethernet, Devicenet, ASI, ProfiBus)
  • PLC Controllers Programming.
  • Sensors and Data Acquisition
  • Development and Reading Machine Documentation
  • Construction and Parameters of Sensors
  • Sensor Interfaces