Condition Monitoring Essentials Training
"The Foundations of Machine Health and Predictive Intelligence"
Course Description
Condition Monitoring Essentials is the "minimum viable setup" required to move an industrial facility from reactive "firefighting" to a proactive, data-driven culture. This course is designed for technicians, supervisors, and junior engineers who need to understand the "Big Picture" of machine reliability. Participants will learn to "listen" to a machine’s health in real-time to identify the earliest signs of wear and stress on the P-F Interval curve.
Course outcomes
By the end of this course, participants will be able to:
- Build a Proactive Maintenance Framework
- Analyse asset failure mechanics using fundamental reliability engineering principles to understand exactly "how things fail."
- Apply the P-F Curve (Potential Failure to Functional Failure) in real-world scenarios to accurately determine optimal inspection intervals and detect early warning signs.
- Quantify the financial and operational value of shifting an organisation from reactive "firefighting" to a high-value proactive maintenance culture.
- Design and Execute the FMEA Process
- Lead a Failure Modes and Effects Analysis (FMEA) to systematically identify critical asset vulnerabilities, prioritise risks, and develop targeted mitigation tactics.
- Select and Deploy Condition Monitoring (ConMon) Technologies
- Evaluate and select the right technology (e.g., partial discharge, vibration analysis, oil analysis, thermography, acoustic data) based on specific asset failure modes.
- Determine the most effective deployment strategy by balancing visual inspections, offline route-based testing, and permanent online monitoring systems.
- Integrate ConMon into Business Operations
- Optimise the organisational structure by effectively managing the pros and cons of insourcing versus outsourcing condition monitoring teams.
- Define competence and training standards to ensure the workforce is capable, certified, and aligned with international best practices.
- Strategise for Future Industry Trends
- Leverage Predictive Maintenance (PdM) and Machine Learning to anticipate machine failures before they disrupt operations.
- Assess new sensing technologies and emerging use-cases to keep the facility at the cutting edge of industrial automation and reliability.
Topics to be discussed:
- Reliability Engineering Principles
- How things fail
- Tactics - how we mitigate Failure
- The PF Curve and its application
- Maintenance types
- Value of proactive maintenance
- The FMEA Process
- Condition Monitoring Tools and Methods
- What is condition monitoring
- Available technologies and how they can be used
- Approach (visual inspections, offline, online)
- Condition Monitoring in the Maintenance Environment
- Organisational structure, in or out-sourced
- The ConMon process
- Competence and training
- Interface with the maintenance management system (CMMS)
- Reporting and communication
- Future Trends in Condition Monitoring
- Predictive maintenance and machine learning
- New sensing technologies
- New use-cases
Who should attend:
- Electrical and Mechanical Engineers
- Reliability Engineers
- Maintenance Technicians
- Mechanical Fitters
- Electricians
- Plant Supervisors & Foremen
- Maintenance Planners
- Production Managers
- Quality Control Inspectors
Benefits of attending:
- Shift from "Firefighting" to Strategic Control
- Maximise Asset Lifespan and ROI
- Master the Selection of High-Tech Tools
- Bridge the Gap Between Data and Action
- Future-Proof Your Career and Facility
Course Content
Course assessment
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