Introduction to Oil Condition Monitoring – Advanced Engineering Birmingham

29th & 30th October 2025

NEC, Birmingham

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30 & 31 Oct 2024 | NEC Birmingham

Introduction to Oil Condition Monitoring
SciMed

Introduction to Oil Condition Monitoring

Oil Condition Monitoring is the practice of periodic oil analysis to gather data on key machine-health indicators.

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Oil Condition Monitoring is the practice of periodic oil analysis to gather data on key machine-health indicators.

In predictive maintenance and reliability programs, in-service oil condition monitoring is a key technique to manage critical asset uptime.

This includes monitoring parameters such as:

Chemistry & Viscosity (Is it the right fluid? Is it still fit for use)
Contamination (Is the fluid clean? Is the fluid dry? etc)
Wear (Is the machine healthy? Can I predict machine failure?)

The benefits of monitoring the condition of lubricants and fluids are that issues can be predicted and avoided before they cause critical machinery to malfunction.

Regular oil condition analysis supports:

Reduced downtime
Improved maintenance decision-making
Extended oil drain intervals.
Cost-saving to business

Oil condition programs are implemented in a wide range of industries including manufacturing, military, mining, marine vessels, vehicle fleets, power generation, and high-performance motorsport.

MiniLab Series – Oil Analyser For Industrial Machinery

The key highlights for the MiniLab 53
Oil analysis identifies the root causes of corrosion and provides early warning signs of equipment wear. On-site oil analysis eliminates the time spent sending samples off-site and allows for immediate decision making.

The MiniLab 53 provides comprehensive on-site oil analysis with three simple tests, providing immediate actionable results, saving time and money. This system’s highlights include:

One product, delivering lab-quality analysis outside of the lab
Simplified workflow for the non-expert user, no chemist required
Simplified operation, data reporting and report interpretation via the TruVu 360 Diagnostic Sets with recommended actions.

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