This is a basic course in Predictive Analytics for Maintenance The course aims to equip the participant with the following: 

1. An appreciation of statistical concepts that underpin Predictive Maintenance ideas 
2. An understanding of simple statistical process monitoring techniques used in tracking developments of critical measurements 
3. An understanding of Correlation and Simple Regression Analysis used in degradation data monitoring / modelling 
4. Simple ideas in failure time modelling that are useful in scheduling of preventive maintenance activities. Learning Objectives: 

At the end of this course, the learners will: 

• Recognise and apply simple statistical concepts used in Predictive Maintenance analysis • Apply simple statistical process monitoring techniques to monitor process outputs
• Use simple regression analysis to model degradation data in order to predict expected failure time • Model failure time of product / system to better manage maintenance activities