PMEx.U1 Introduction to Predictive Maintenance
  • What is Predictive Maintenance?
  • Predictive Maintenance and Reliability Overview
  • History of Predictive Maintenance and Future Directions
  • Main Fields of Knowledge Used by Predictive Maintenance.
  • Predictive Maintenance Use Cases
  • Factory real life examples
  • Role of prediction in modern approach to maintenance planning in Plants/Enterprises.
PMEx.U2 Basic Mathematical Knowledge
  • Equations, Functions and Graphs
  • Limits, Derivatives, Differential and Integral Calculus
  • Vectors and Matrixes
  • Probability, Statistics and Distribution
  • Algorithms and Complexity
PMEx.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
PMEx.U4 Statistics and Mathematics
  • Introduction to Statistical Methods in Engineering
  • Normal (Gauss) Distribution
  • Weibull Distribution
  • Statistical Hypothesis and its Verification
  • Methods of Function Optimization Basic and Linear
  • Conditional expected value and Bayesian inference
  • Probability functions and its Applications
  • Statistical Inference
  • Design of Experiment
PMEx.U5 Advanced Predictive Maintenance
  • Computer Programming
  • Fundamental concepts and terminologies of deep learning, machine learning, neural networks and genetic algorithms
  • 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
  • Parallel Computing and Use of Cloud Computing Interfaces