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Condition Monitoring Essentials Training

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  • Course overview
  • Course Curriculum

"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:

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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:

  1. Shift from "Firefighting" to Strategic Control
  2. Maximise Asset Lifespan and ROI
  3. Master the Selection of High-Tech Tools
  4. Bridge the Gap Between Data and Action
  5. Future-Proof Your Career and Facility

Course Content

Module 1: Reliability Engineering Principles 5 Topics | 1 Quiz
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Lesson Content
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Lesson 1: What is reliability engineering?
Lesson 2: How things fail
Lesson 3: Maintenance Tactics
Lesson 4: Maintenance Types
Lesson 5: RCM / FMEA Process
Quiz 1: Reliability Engineering Principles
Module 2: Condition Monitoring Tools and Methods 8 Topics | 1 Quiz
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Lesson Content
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Lesson 1: What is condition monitoring?
Lesson 2: Condition Monitoring technologies
Lesson 3: Partial Discharge
Lesson 4: Ultrasonic Analysis
Lesson 5: Vibration analysis
Lesson 6: Oil analysis
Lesson 7: Thermography
Lesson 8: Motor current analysis
Quiz 2: Condition Monitoring Tools and Methods
Module 3: Condition Monitoring Process 4 Topics | 1 Quiz
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Lesson Content
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Lesson 1: Condition monitoring workflow design
Lesson 2: Condition monitoring organisational design
Lesson 3: The work management process
Lesson 4: The business case for condition monitoring
Quiz 3: Condition Monitoring Process
Module 4: Trends in Condition Monitoring 1 Topic | 1 Quiz
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Lesson Content
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Lesson 1: Introduction and industry context
Quiz 4: Trends in Condition Monitoring
Course assessment
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