Grease Contamination may arise from multiple operating, fluid, sampling or analytical causes. The pattern, rate of change and correlated evidence determine the most credible explanation.

Start with the observation

Confirm sample identity, method, units, service interval and historical baseline. A single abnormal parameter rarely confirms root cause, and a plausible explanation should predict other evidence that can be checked.

Differential diagnosis

Grease Contamination differential diagnosis
Possible causeSupporting indicatorsConfirming testsImmediate responseLong-term corrective action
WaterConsistency changeelemental analysis icp oesCollect a representative purge sampleCorrect the confirmed source rather than the isolated number
DirtDiscolourationpq indexReview seals and relubrication practiceEstablish a follow-up sampling point and timing
Wrong grease mixingBearing temperatureanalytical ferrographyCollect a representative purge sampleDocument maintenance so the post-action trend can be evaluated
Process ingressConsistency changeelemental analysis icp oesReview seals and relubrication practiceCorrect the confirmed source rather than the isolated number

Confirming and supporting evidence

Supporting indicators

  • Consistency change
  • Discolouration
  • Bearing temperature

Immediate and corrective actions

  1. 01Collect a representative purge sample
  2. 02Review seals and relubrication practice
  3. 03Correct the confirmed source rather than the isolated number
  4. 04Establish a follow-up sampling point and timing
  5. 05Document maintenance so the post-action trend can be evaluated

False positives and context checks

  • Non-representative sample
  • Changed method or laboratory
  • Recent top-up or overhaul
  • Container or sampling-tool contamination

References and method context

References identify authoritative source families; they do not reproduce protected procedures or acceptance tables. Verify the current official edition before procedural or conformity use.

  1. ISO: ISO 14830-1: Tribology-based monitoring and diagnostics