Polaris Laboratories shares how modern fluid analysis is transforming maintenance from reactive firefighting into data-backed, risk-based decision making.
In this session, you’ll see how POLARIS (Performance Oil Analysis Laboratories) leverages 20+ years of data, seven global labs, and over 21 million samples to deliver actionable insights—not just lab numbers. You’ll also learn how their new Aurora AI interpretation engine and integrations with CMMS platforms (like Redlist) turn oil reports into clear recommendations your team can actually use.
Topics covered include:
- Why fluid analysis is still one of the most powerful condition monitoring tools
- The three core questions fluid analysis answers: lubricant health, contamination, and wear
- How to move from time-based to condition-based oil changes (with a real example of $1.4M/year saved on oil alone)
- Case studies: avoiding a $190,000 engine failure and using data to justify repowers
- Combining telematics, sensors, vibration, thermography, and fluid analysis into a single view
- The importance of clean, accurate data and closing the feedback loop with the lab
- How Aurora AI captures the “art” of human analysts to deliver faster, more consistent evaluations
- Using industry benchmarks to compare your fleet’s reliability to your peers
If you’re a maintenance manager, reliability engineer, or fleet/equipment owner looking to extend asset life, cut unplanned downtime, and get more value from your data, this presentation shows what’s possible when lab analysis, AI, and your maintenance system all work together.
