Industry reliability guide

Power Generation & Utilities

Turbines, engines, transformers and balance-of-plant systems require long-term trends, high-quality sampling and coordinated multi-technology monitoring.

Operating context

Design the programme around how the assets fail.

Power assets are often highly critical with long lubricant life and narrow outage windows. Integrate oil analysis with vibration, thermography, electrical testing and operating-performance data.

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.

Power Generation & Utilities equipment, fluid, test and sampling map
Equipment	Fluids	Primary risks	Routine tests	Triggered / advanced tests	Sampling approach
Gas and steam turbines	Turbine oil and control fluid	Varnish, water, particles, oxidation, bearing wear	kinematic viscosity, acid number, particle count, karl fischer water	ftir oil condition monitoring, pq index, analytical ferrography	Use active return or bearing-drain points and record load and reservoir treatment.
Generator engines	Engine oil, coolant, stored diesel	Fuel ageing, soot, coolant ingress, wear	elemental analysis icp oes, kinematic viscosity, base number, fuel dilution	glycol contamination, soot, karl fischer water	Sample hot engine oil consistently and fuel at defined tank levels.
Power transformers	Insulating oil	Electrical faults, thermal faults, moisture, oxidation	dissolved gas analysis, transformer oil breakdown voltage, karl fischer water, acid number	elemental analysis icp oes	Use approved gas-tight sampling by electrically authorised personnel.

Programme priorities

Controls that make the data useful.

01Preserve long-term method and sampling continuity
02Establish event-driven samples after trips or maintenance
03Use transformer and turbine specialist interpretation
04Coordinate laboratory alarms with outage planning

Maintenance outcomes

Decisions the programme should improve.

01Risk-based outage scope
02Earlier varnish and moisture control
03Transformer fault surveillance
04Improved generating availability

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.

Power Generation & Utilities condition-monitoring programme architecture
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.

Power Generation & Utilities severity and response framework
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

Read the severity and maintenance-feedback guide →

Connected test references

Open the laboratory method context.

Complete test library →