Additional information
| Course Duration | |
|---|---|
| Training Location | |
| Delivery Format |
- From: Oct 04, 2027
- To: Oct 08, 2027
-
Duration:
5 Days
- Location:
Course Code: AX-ENR-008
Big Data Analytics for Predictive Maintenance Strategies
Leveraging Data Analytics for Optimized Maintenance and Asset Reliability
$5,950.00
Course Information
Course Overview
This practical course introduces professionals to the use of data analytics, IoT, AI and predictive techniques to improve maintenance strategies, equipment reliability and operational performance.
Participants learn how maintenance data can be collected, integrated and analysed to identify equipment conditions, detect potential failures, optimize maintenance schedules and reduce unplanned downtime.
Learning Objectives
- Understand the fundamentals of big data analytics and predictive maintenance.
- Identify useful data sources for maintenance and reliability analysis.
- Understand how IoT and connected assets support predictive maintenance.
- Apply data analytics to identify equipment performance trends.
- Understand the fundamentals of predictive maintenance models.
- Differentiate between preventive, condition-based and predictive maintenance.
- Use analytical insights to improve maintenance planning and scheduling.
- Understand relevant asset management and reliability standards.
- Identify data quality, security and governance considerations.
- Develop practical approaches for implementing predictive maintenance strategies.
Who Should Attend
- Maintenance Engineers
- Reliability Engineers
- Asset Management Professionals
- Operations Managers
- Maintenance Managers
- Data Analysts
- Engineering Professionals
- IT and Digital Transformation Specialists
- Engineering Consultants
- Professionals involved in maintenance optimisation
Course Outline
This course covers the following core modules:
- Big Data Analytics & Predictive Maintenance Fundamentals
- Maintenance Data Collection & Management
- Data Analytics & Predictive Techniques
- Implementing Predictive Maintenance Strategies
- Future Trends & Predictive Maintenance Improvement
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