Predictive Maintenance Training

Predictive Maintenance

Overview of Predictive Maintenance

Most industrial Downtime is not sudden it is foreseeable. Industrial equipment does not fail without warning it deteriorates through measurable, detectable stages long before catastrophic breakdown occurs. Yet without the right skills and tools, most maintenance teams continue to run assets until they fail, incurring Huge costs, lost productivity and avoidable safety risks.

This programme equips participants with a structured understanding of modern maintenance philosophy and the practical skills to deploy proven Condition-Monitoring technologies across rotating machinery, electrical systems and mechanical assets. The curriculum bridges foundational theory with real-world application ensuring every attendee leaves with actionable knowledge they can implement on day one back in their facility.

Maintenance Programme Types & Their Effectiveness

Definitions and distinctions: preventive, predictive, and breakdown maintenance
Cost-benefit analysis of each approach
Evolution of maintenance from reactive to intelligence-driven models
Criteria for selecting the right strategy per asset type

Vibration Monitoring & Analysis

Principles of vibration: amplitude, frequency, and intensity
Sensor types and placement strategies
Identifying imbalance, misalignment, looseness, and bearing wear from vibration signatures
Reading and interpreting vibration spectra

Thermography

Principles of infrared radiation and thermographic imaging
Types of thermal cameras and their appropriate use cases
Common inspection targets: electrical panels, motors, gearboxes, and process equipment
Interpreting thermograms and establishing temperature thresholds

Tribology

Fundamentals of lubrication regimes and film thickness
Wear particle analysis and what particles reveal about component condition
Oil sampling techniques and contamination monitoring
Interpreting tribological data to schedule corrective action

Ultrasonics

Principles of airborne and structure-borne ultrasound
Detecting pressurised gas and steam leaks
Monitoring bearing and gear condition at high frequencies
Flow measurement applications using ultrasonic instruments

Motor Circuit Analysis (Electrical Testing)

Resistance, inductance, impedance, and phase angle testing
Capacitance measurement and its diagnostic significance
Megger testing for insulation resistance
HiPot testing for dielectric strength verification

Parameters, Data Analysis & Visual Inspection

Establishing alert and alarm thresholds across technique outputs
Random sampling and full manual inspection protocols
Remote visual inspection (RVI) using cameras and drones
Automated vision inspection using machine learning and image processing

Predictive Maintenance Key Benefits

Reduced Unplanned Downtime - Identify developing faults weeks or months ahead of failure, allowing corrective action to be planned around production schedules rather than disrupting them.
Lower Maintenance Expenditure - Replace fixed-interval replacements with condition-based decisions — eliminating unnecessary component changes and reducing over-maintenance costs.
Extended Asset Lifespan - Consistent condition monitoring and early intervention keeps equipment performing at design specification for longer, protecting capital investment.
Stronger Safety Culture - Pre-empting mechanical failure removes the hazard of unexpected breakdowns that can cause injury, environmental incidents, or uncontrolled emergency shutdowns.
Internal Capability Development - Equip engineering teams with multi-technique diagnostic skills, reducing dependence on expensive third-party inspection contracts.
Implementation Readiness - Participants complete a mock PdM programme assessment and leave with a clear, structured framework ready to deploy in their own facility.