Introduction to Predictive Analytics for Maintenance

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Introduction to Predictive Analytics for Maintenance

Overview

Course Date:
TBA
Registration Period:
TBA
Duration/Frequency:
8 Hours
Mode of Training:
Practical Training
Venue:
Singapore Polytechnic
Funding:
Eligible for SkillsFuture Credit

Course Objective

This is a basic course, aiming to equip participants with the following skills:

Appreciation of statistical concepts underpinning Predictive Maintenance ideas
Understanding of simple Statistical Process Monitoring techniques used for tracking critical measurements’ developments
An understanding of Correlation and Simple Regression Analysis for Degradation Data Monitoring / Modelling
Simple ideas in failure time modelling, useful in scheduling Preventive Maintenance activities

Course Outline

By the end of the course, participants will be able to:

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 predicting expected failure time
Model failure time of product / system to better manage maintenance activities

Topics to be covered

Basic Statistical Concepts and Distributions
Statistical Process Monitoring of Measurements
Correlation and Simple Regression Analysis of Degradation Data
Failure Time Modelling

Minimum Requirements

Has an Engineering background, and monitors Manufacturing processes or equipment failure

Certification / Accreditation

• Certificate of Attendance (electronic Certificate will be issued)
A Certificate of Attendance will be awarded to participants who meet at least 75% attendance rate

• Certificate of Completion (electronic Certificate will be issued)
A Certificate of Completion will be awarded to participants who pass the assessment and meet at least 75% attendance rate