Short answer
Start with a few critical machines, sample them the same way each time, and track the results over time. Oil analysis can show wear metals, contamination, and fluid condition, which supports predictive maintenance: planning oil changes and catching developing problems early. Confirm the test kit covers the fluid type you are sampling.
Hydraulic and compressor oil analysis: pick the first machines
Start with equipment whose failure would stop production, such as the main air compressor, a central hydraulic unit, or a critical gearbox. Record the make, model, fluid in use, and hours since the last change.
Oil sampling procedure: the same way every time
Take samples from the same point, with the machine at operating temperature, at a consistent interval. A dedicated sampling valve or a vacuum pump with clean tubing helps avoid contaminating the sample. Follow the kit instructions and label each bottle with the machine, fluid, and hours.
Read the results as a trend
A single report is a snapshot. Rising wear metals, increasing particle counts, water, or a shift in viscosity across several samples tell you more than any one number. Compare results with the equipment manufacturer’s limits where they are published.
Act on the findings
Use results to adjust change intervals, check filters and breathers, and investigate sources of contamination. Record what you changed so the next sample shows whether it worked.
Frequently asked questions
What can oil analysis show?
Typical reports cover wear metals, contaminants such as water and dirt, and fluid condition such as viscosity and oxidation.
How often should I sample?
Many programs start by sampling at each scheduled service and adjust frequency based on the results and the machine’s importance.
Do the kits cover hydraulic and compressor oil?
Check the kit description and confirm with the lab before sampling. Coolant and diesel fuel use their own kits.
General maintenance information. Always follow your vehicle or equipment manufacturer’s requirements and the current product data. Questions? Email [email protected].
