Articles, application notes, and commentary from our engineering and spectroscopy teams. No marketing — just things we think are worth knowing.
Viscosity sensors, dielectric sensors, particle counters — there are plenty of inline oil monitoring options. We explain why mid-infrared spectroscopy delivers more information per measurement point, and where the tradeoffs are.
Read article →Most maintenance managers know condition-based oil changes make sense in theory. We walk through the numbers to show what the difference actually costs in practice — and what it takes to implement it properly.
We analysed two years of MIR data from a 40-turbine wind farm. Here's what we learned about water ingress patterns, seasonal degradation, and the lead time between early warning and bearing failure.
When a customer wants to monitor a fluid we haven't calibrated before, what happens? A behind-the-scenes look at PLS regression, reference method validation, and how long it takes to go from "new fluid" to production-ready model.
Inline monitoring and lab analysis aren't in competition. We explain the scenarios where lab sampling still wins, and the hybrid monitoring architectures that get the most out of both approaches.
Sixty haul trucks, one FluidInspectIR® Portable, and twelve months of data. How on-site MIR analysis compared to the external lab programme it replaced — including accuracy, cost per sample, and near-misses detected.
The hardest part of oil condition monitoring isn't the measurement — it's making sure the data ends up where your maintenance team can act on it. We walk through the integration architectures that actually get used.