Sahawatthanakit (1988) Co., Ltd.
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Sahawatthanakit (1988) Engineering Team8 min read

Oil Analysis — Condition Monitoring to Prevent Machine Failure and Extend Oil Life

A guide to oil analysis / condition monitoring for industrial machinery: viscosity (ASTM D445), wear metals (ASTM D5185), TAN/TBN, water, particle count (ISO 4406), interpreting wear metals, predictive maintenance, and extended drain per ISO 18436 for factories in Thailand.

lubricantoil-analysiscondition-monitoringpredictive-maintenanceastm-d5185iso-18436thailand
Taking an oil sample from machinery for oil analysis

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สรุป (TL;DR)

A guide to oil analysis / condition monitoring for industrial machinery: viscosity (ASTM D445), wear metals (ASTM D5185), TAN/TBN, water, particle count (ISO 4406), interpreting wear metals, predictive maintenance, and extended drain per ISO 18436 for factories in Thailand.

An expensive machine failing mid-operation = downtime + repair + lost work, costing tens of times more than the oil. But before it fails, the lubricant almost always "signals" in advance — through worn metal particles, ingressed water, or changed properties.

Oil analysis is a "blood test" for machinery — reading these signals to prevent failure and extend oil life. This article explains what to test, how to interpret it, and how to use it for predictive maintenance.


1. What to Test — Five Key Items

Item Standard Tells you
Viscosity ASTM D445 (40°C) the most important property — a change = degradation/contamination
Wear metals ASTM D5185 (ICP, 22 elements) which parts are wearing
TAN / TBN ASTM D664 / D2896 oxidation + alkalinity reserve
Water ASTM D6304 (Karl Fischer) water contamination
Particle count ISO 4406 cleanliness (dust/particles)

Viscosity is the most important — an off-spec viscosity = the lubricating film breaks down.


2. Interpreting Wear Metals — Which Part Is Wearing

flowchart LR
  A[Wear Metals
ASTM D5185] --> B[Fe iron
gears/bearings/cylinders] A --> C[Cu copper
bushings/bearings/oil cooler] A --> D[Cr chromium
rings/bearings] A --> E[Al aluminium
pistons/bearings] A --> F[Si silicon
dirt ingress / seal leak] B --> G[Watch the trend vs baseline
not a single reading] C --> G D --> G E --> G F --> G

Each element points to a part — e.g., Fe + Cr rising together = ring/cylinder wear; high Si = dirt ingress (leaking seal/filter). Watching the trend versus a baseline matters more than a single reading.


3. Three Main Benefits

  1. Predictive maintenance — catch wear before failure → plan repairs on schedule, not in emergencies
  2. Extended drain — if the oil is still good, don't change it = save oil + labor + waste
  3. Root cause — know what's causing wear (dust/water/load) → fix the source

4. Calendar-Based vs Condition-Based Oil Change

flowchart TD
  A[Oil change interval] --> B{Use oil analysis?}
  B -->|No - calendar| C[May discard good oil
or fail before the interval] B -->|Yes - by condition| D[Change only when truly needed
= savings + failure prevention]

Oil analysis shifts you from "guessing" to "measuring" — change the oil when the real condition says, not only by the calendar. The analyst competence standard = ISO 18436.


5. Checklist to Start Oil Analysis

  1. Pick critical machines — expensive/continuous/high failure cost
  2. Establish a baseline — fresh oil + normal-machine sample
  3. Sample regularly (same point, same method) to track the trend
  4. Run the full panel — viscosity + wear metals + TAN/TBN + water + particle
  5. Interpret + act — abnormal values → inspect/change oil/fix the root cause

We help set up an oil analysis program for your factory's machinery/fleet — sampling, full-panel testing (viscosity/wear metals/TAN-TBN/water/particle), interpreting results against a baseline, and recommending the right SK ZIC lubricant grade + condition-based change intervals to prevent failures and extend oil life.

Talk to our engineering team to start a condition-monitoring program — call 02-096-2118 or LINE OA @406rrgvm.


Summary

  • Oil analysis = a machine blood test — catch problems before failure + extend oil life
  • Test five basics: viscosity (D445) · wear metals (D5185) · TAN/TBN · water · particle (ISO 4406)
  • Wear metals reveal the wearing part (Fe/Cu/Cr/Al/Si) — watch the trend vs baseline
  • Three benefits: predictive maintenance · extended drain · root cause
  • Change oil by actual condition — better than calendar or run-to-failure

Oil analysis shifts you from "guessing" to "measuring" — preventing failures, saving oil, deciding on real data.

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Frequently Asked Questions

1

What does oil analysis do, and is it worth it?

+
It is like a 'blood test' for machinery — catching problems (wear, water/contamination, oil degradation) before the machine actually fails. Very worthwhile because: (1) it prevents emergency downtime (far costlier than the test), (2) it extends oil-change intervals (extended drain — not discarding still-good oil), (3) it finds the root cause of wear. Ideal for critical/expensive/continuously-running machinery.
2

What does oil analysis test?

+
Mainly: (1) Viscosity (ASTM D445 at 40°C) — the most important property; a change means degradation/contamination, (2) Wear metals (ASTM D5185 ICP — 22 elements Fe/Cu/Cr/Al/Pb etc.) showing which parts are wearing, (3) TAN/TBN — oxidation + alkalinity reserve, (4) Water (Karl Fischer ASTM D6304), (5) Particle count (ISO 4406) — cleanliness.
3

What does each wear metal indicate?

+
Each element points to a wearing part: iron (Fe) = gears/bearings/cylinders, copper (Cu) = bushings/bearings/oil coolers, chromium (Cr) = rings/bearings, aluminium (Al) = pistons/bearings, silicon (Si) = dirt ingress (seal leak). The 'trend' versus a baseline matters more than a single reading.
4

Should I change oil on a calendar or by condition?

+
Oil analysis lets you change 'by actual condition' — if the oil is still good (viscosity/TAN/particles normal) don't change it = savings. If degraded/contaminated early = change immediately to prevent failure. Better than both 'calendar-based' (may discard good oil) and 'run-to-failure' (breakdown). It requires regular sampling + a baseline.
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