Industry reliability guide
Industrial Manufacturing
A mixed asset base benefits from criticality-based panels covering gearboxes, hydraulics, compressors, machine tools and central lubrication.
Industrial Manufacturing programmes should connect equipment criticality, credible failure modes, representative samples, routine and triggered tests, response ownership and maintenance feedback.
Operating context
Design the programme around how the assets fail.
Manufacturing sites should begin with an asset and lubricant census, then assign panels by failure mode rather than applying one generic oil test to every machine.
Use this guide to scope an oil-analysis programme; then confirm equipment-specific limits, methods and safety controls with the laboratory, OEM and site engineering team.
Equipment-to-test map
What to test—and why.
Routine panels create comparable history. Triggered tests answer a focused question after a trend change, inspection finding or operating event.
| Equipment | Fluids | Primary risks | Routine tests | Triggered / advanced tests | Sampling approach |
|---|---|---|---|---|---|
| Production gearboxes | Industrial gear oil | Gear/bearing wear, water, wrong oil, oxidation | kinematic viscosity, elemental analysis icp oes, karl fischer water, pq index | analytical ferrography, particle count | Sample active return flow or a repeatable mid-level point after operation. |
| Hydraulic power units | Hydraulic fluid | Particle contamination, water, varnish, pump wear | particle count, karl fischer water, kinematic viscosity, acid number | elemental analysis icp oes, ftir oil condition monitoring | Sample upstream of return filtration using a flushed permanent port. |
| Compressors and vacuum pumps | Compressor oil | Oxidation, deposits, coolant/process ingress, wear | kinematic viscosity, acid number, ftir oil condition monitoring | elemental analysis icp oes, karl fischer water, analytical ferrography | Use a hot active circulation point and record discharge temperature and hours. |
Programme priorities
Controls that make the data useful.
- 01Rank assets by safety, production and repair consequence
- 02Assign test panels to known failure modes
- 03Standardise sampling points during reliability walkdowns
- 04Use abnormal reports to trigger targeted inspection, not automatic oil changes
Maintenance outcomes
Decisions the programme should improve.
- 01Higher planned-work ratio
- 02Fewer repeat failures
- 03Optimised lubrication routes
- 04Evidence for root-cause analysis
Programme architecture
Build a closed evidence-to-action loop.
A test panel becomes a reliability programme only when the sample, interpretation, response and field outcome remain connected to the same asset and compartment.
| Stage | Control | Evidence created | Decision |
|---|---|---|---|
| 1 · Baseline | Confirm asset, compartment, fluid, method, point and operating state | Comparable new or stable in-service reference | Define normal variability and initial interval |
| 2 · Routine surveillance | Collect at a fixed risk-based interval from the documented point | Trend of fluid condition, contamination and wear | Continue, monitor or request focused confirmation |
| 3 · Exception diagnosis | Use mechanism-specific tests, secondary points, filters and companion technologies | Independent evidence for or against the failure hypothesis | Protect, inspect, correct or revise the hypothesis |
| 4 · Verification | Repeat comparable evidence after maintenance | Post-action condition and rate of change | Close the work order or escalate |
| 5 · Programme learning | Record inspection findings, false positives and missed detections | Asset-specific failure signatures and improved rules | Change point, panel, interval, limit or procedure |
Interpretation ladder
Translate severity into a defined response.
These are workflow classes—not universal pass/fail limits. Asset consequence, rate of change and site safety procedures control the urgency.
| Class | Typical evidence pattern | Minimum review | Possible response |
|---|---|---|---|
| Stable / Normal | Comparable results remain within the justified baseline and no corroborating distress is present | Confirm route and context are complete | Continue the planned interval |
| Monitor | A small deviation, unusual rate of change or incomplete contextual explanation | Check sample, top-up, maintenance and companion indicators | Clarify data, add one focused test or shorten the interval |
| Abnormal / Investigate | Unsatisfactory fluid, contamination or wear evidence with a credible developing mechanism | Confirm promptly using independent evidence | Inspect, control the source and plan corrective work |
| Critical / Urgent review | Rapid, severe or corroborated change with material equipment or safety consequence | Immediate qualified operational and engineering review | Apply site procedures; protect people and equipment before diagnosis continues |
Connected test references
Complete test library →Open the laboratory method context.
TEST REFERENCEkinematic viscosityPrinciple, sampling, interpretation and limitations→TEST REFERENCEelemental analysis icp oesPrinciple, sampling, interpretation and limitations→TEST REFERENCEkarl fischer waterPrinciple, sampling, interpretation and limitations→TEST REFERENCEpq indexPrinciple, sampling, interpretation and limitations→TEST REFERENCEanalytical ferrographyPrinciple, sampling, interpretation and limitations→TEST REFERENCEparticle countPrinciple, sampling, interpretation and limitations→TEST REFERENCEacid numberPrinciple, sampling, interpretation and limitations→TEST REFERENCEftir oil condition monitoringPrinciple, sampling, interpretation and limitations→