Predictive Maintenance

About this course

Explore Predictive Maintenance through online lessons, practical labs and a capstone. Practitioner level; estimated study time: 16 h.

Course curriculum

• Module 1 — Maintenance Strategies and Their Economics
• Module 2 — Failure Modes and P–F Intervals
• Module 3 — Vibration, Temperature, Current and Oil Analysis
• Module 4 — Features and Health Indicators
• Module 5 — Anomaly Detection
• Module 6 — Remaining Useful Life
• Module 7 — Alarm Thresholds and Lead Time
• Module 8 — Deploying and Sustaining PdM

Applied learning

• Case Study — The Alarm Everyone Ignored
• Lab 1 — A vibration health indicator
• Lab 2 — RUL with uncertainty
• Lab 3 — A PdM business case
• Capstone — A Predictive Maintenance Plan for an Asset Fleet

Who this course is for

Engineer / Architect; Technology Professional; Enterprise Team; Data Professional

Prerequisites

NE-IND-201

Course details

Course code: NE-IND-205. Delivery: Self-Paced / Instructor-Led. School: Smart Industry & Industrial IoT.

Includes online lessons and practice activities. Course materials are in pilot review.