The Predictive Maintenance for Facilities Management Training Course by Oxford Training Centre is designed to develop practical skills in predictive maintenance for improving facility performance, equipment availability, and operational efficiency. The course explores condition monitoring, asset performance analysis, asset reliability, maintenance planning, and modern maintenance technology. Participants will learn how to use maintenance data and predictive techniques to identify potential equipment failures before they cause costly downtime. This programme is offered under Product Management Training Courses.
Objectives
By the end of this predictive maintenance course, participants will be able to:
- Understand the principles and applications of predictive maintenance in facilities management.
- Apply condition monitoring techniques to assess equipment health and performance.
- Identify early indicators of equipment failure and deterioration.
- Improve asset reliability through data-driven maintenance strategies.
- Use maintenance data to support predictive decision-making.
- Evaluate modern maintenance technology and its applications.
- Develop effective predictive maintenance plans for facility assets.
- Reduce unplanned downtime, maintenance costs, and operational disruptions.
- Improve asset lifecycle management and maintenance performance.
- Establish suitable performance indicators for predictive maintenance programmes.
Target Audience
This course is suitable for:
- Facilities Managers
- Maintenance Managers and Supervisors
- Asset Managers
- Building Services Managers
- Reliability Engineers
- Maintenance Engineers
- Facility Operations Professionals
- Property and Building Managers
- Engineering and Technical Staff
- Professionals responsible for equipment performance and asset reliability
Course Content
Module 1: Fundamentals of Predictive Maintenance
- Introduction to predictive maintenance
- Predictive versus preventive and corrective maintenance
- Benefits and limitations of predictive strategies
- Predictive maintenance in facilities management
- Developing a predictive maintenance mindset
Module 2: Condition Monitoring
- Principles of condition monitoring
- Equipment health assessment
- Vibration monitoring
- Temperature and thermal monitoring
- Lubricant and oil analysis
- Electrical and performance monitoring
- Selecting appropriate monitoring techniques
Module 3: Asset Reliability and Performance
- Fundamentals of asset reliability
- Asset criticality assessment
- Reliability-centred maintenance concepts
- Failure modes and failure patterns
- Asset health indicators
- Improving equipment availability and performance
Module 4: Maintenance Data and Predictive Analysis
- Collecting and organising maintenance data
- Equipment history and failure records
- Analysing operational trends
- Identifying abnormal conditions
- Failure prediction techniques
- Using data to support maintenance decisions
Module 5: Maintenance Technology
- Overview of modern maintenance technology
- Sensors and connected equipment
- Internet of Things (IoT) applications
- Computerised maintenance management systems
- Remote monitoring technologies
- Digital tools for predictive maintenance
Module 6: Predictive Maintenance Planning
- Developing a predictive maintenance programme
- Selecting critical facility assets
- Establishing monitoring schedules
- Setting maintenance thresholds
- Integrating predictive maintenance with existing programmes
- Resource and cost planning
Module 7: Failure Prevention and Risk Management
- Early detection of equipment deterioration
- Failure risk assessment
- Root cause considerations
- Preventing recurring equipment failures
- Managing maintenance-related operational risks
- Reducing unplanned downtime
Module 8: Measuring Predictive Maintenance Performance
- Predictive maintenance KPIs
- Measuring asset reliability
- Maintenance cost analysis
- Equipment availability and downtime metrics
- Evaluating programme effectiveness
- Continuous improvement strategies
FAQs
1. What is predictive maintenance?
Predictive maintenance is a maintenance strategy that uses equipment condition, performance data, and monitoring techniques to predict potential failures before they occur.
2. What will I learn in this predictive maintenance course?
You will learn about condition monitoring, asset reliability, predictive analysis, maintenance planning, maintenance technology, and equipment failure prevention.
3. Who should attend this predictive maintenance training course?
The course is suitable for facilities managers, maintenance professionals, asset managers, reliability engineers, engineering staff, and facility operations personnel.
4. How does predictive maintenance improve asset reliability?
Predictive maintenance helps identify early signs of deterioration, allowing maintenance teams to address developing problems before they result in major equipment failures.
5. What is condition monitoring in facilities management?
Condition monitoring involves collecting and analysing information about equipment health and performance to identify changes that may indicate developing faults.
6. How is maintenance technology used in predictive maintenance?
Maintenance technology such as sensors, IoT systems, monitoring tools, and computerised maintenance systems can collect and analyse equipment data to support predictive maintenance decisions.
7. Is this course suitable for facilities management professionals?
Yes. The course focuses on applying predictive maintenance principles to facility assets, equipment performance, maintenance planning, and operational reliability.