Oil_Sample_Analysis_Presentation.pptx

1. Oil Sample Analysis
Condition Monitoring & Predictive
Maintenance
Presented by [Your Name]

2. Objective of Oil Sample Analysis
• • Monitor equipment health
• • Detect early wear and contamination
• • Optimize oil change intervals
• • Prevent unplanned breakdowns

3. Why Oil Analysis is Important
• • Oil is the lifeblood of rotating and hydraulic
equipment.
• • Breakdown in oil quality can indicate:
• - Component wear
• - Contamination (dust, water, fuel, coolant)
• - Oxidation and degradation
• • Prevents costly failures

4. Types of Oil Tests
• • Viscosity – Measures oil thickness
• • TAN/TBN – Acid/Base levels in oil
• • Spectrometric Analysis – Detects wear
metals
• • Water Content – Checks for contamination
• • Particle Count (ISO) – Cleanliness of oil
• • FTIR – Oxidation, nitration, soot

5. Sampling Procedure
• • Collect oil when equipment is hot and
running
• • Use clean, dry bottles
• • Avoid external contamination
• • Label sample properly (Equipment ID, Date,
Hours)

6. Key Parameters Analyzed
• • Iron, Copper, Chromium: Wear metals
(gears, bearings)
• • Silicon: Dirt contamination
• • Soot: Incomplete combustion
• • Water / Glycol: Coolant leakage
• • Fuel Dilution: Poor combustion or injector
leak

7. Example Oil Report Snapshot
• [Insert image or table of sample report]

8. Interpreting Results
• Element | Normal | Caution | Critical
• Iron | <30 ppm| 30–100 ppm | >100
ppm
• Silicon | <10 ppm| 10–30 ppm | >30 ppm
• Water | <0.05% | 0.05–0.1%| >0.1%
• * Interpret values in context of equipment
type and oil age *

9. Case Study / Real Example
• • Real case where oil analysis detected early
damage
• • Action taken
• • Downtime saved / Cost prevented

10. Benefits of Regular Oil Sampling
• ✅ Improved Equipment Reliability
• ✅ Early Fault Detection
• ✅ Reduced Maintenance Cost
• ✅ Extended Oil Drain Intervals
• ✅ Safer Operations

11. Challenges in Oil Analysis
• • Improper sampling
• • Delayed testing/reporting
• • Ignoring early warnings
• • Lack of training on report interpretation

12. Conclusion & Recommendations
• • Integrate oil analysis with preventive
maintenance
• • Train staff on sampling and reading reports
• • Take timely action based on reports
• • Keep historical data for trend analysis

13. Q&A
• Any questions or observations?

14. Machines Used for Oil Sampling &
Analysis
• 1. **Vacuum Oil Sampling Pump** – For
extracting oil samples cleanly from
equipment.
• 2. **Spectrometer (ICP or RDE)** – Detects
metal wear particles in oil (Iron, Copper,
Chromium, etc.).
• 3. **Viscometer** – Measures oil viscosity at
different temperatures.
• 4. **FTIR Analyzer** – Analyzes chemical
degradation (oxidation, nitration, soot).