Power Plant Failure Mode Analysis: Turbine, Boiler & Generator

By Willam Jerry on October 10, 2026

power-plant-failure-mode-analysis

Most power plants already know how their equipment can fail. The knowledge sits in OEM manuals, outage reports, an old FMEA spreadsheet and the heads of senior engineers. The problem is that it is rarely connected to day-to-day maintenance. A bearing temperature trend is logged in one place, the failure mode it points to is documented in another, and the work order that should follow is raised only after the trip. Failure mode analysis works when the library, the inspections and the work orders live together. OxMaint AI maintenance management software keeps asset history, inspection findings, work orders and preventive plans linked so failure knowledge turns into action.

Power Plant Reliability · FMEA · Turbine, Boiler, Generator & Balance of Plant

Power Plant Failure Mode Analysis: Turbine, Boiler & Generator.

A static FMEA file goes stale the day it is saved. OxMaint AI connects failure modes to asset inspections, findings, work orders and recurring PM in one platform, so every failure and every near-miss updates what you know and what you schedule next.

1Failure modes
by asset and system
→
2Inspect & monitor
early warning signs
→
3Work order
cause and fix recorded
→
4Updated PM
strategy revised from history
4 groups
turbine, boiler, generator and balance of plant
16 modes
common failure modes in the library below
S × O × D
classic risk priority number scoring
IEC 60812
international standard for FMEA

Power Plant Failure Mode Library

Pick an equipment group to see typical failure modes, what causes them, how they warn you and how to catch and correct them. These are common patterns, not a replacement for OEM guidance or your own plant history. Start free and build this library for your own assets.

Failure modeTypical causesEarly warningDetect & act
Excessive vibration Imbalance, misalignment, thermal bow, blade loss Rising vibration, orbit change Vibration monitoring; balance, realign, inspect blades
Bearing failure Contaminated or low lube oil, misalignment Rising bearing metal temperature, oil debris Oil analysis and temperature trend; fix lube system, replace bearing
Blade erosion, fouling or cracking Poor steam quality, deposits, resonance Efficiency loss, vibration shifts Borescope and performance trending; clean, repair or replace
Control valve sticking Deposits, contaminated hydraulic fluid Slow response, hunting Valve stroke tests; overhaul and fluid cleanliness
Failure modeTypical causesEarly warningDetect & act
Tube leak Overheating, corrosion, erosion, fatigue Rising make-up water, leak noise Thickness trending, chemistry control; confirm cause before repair
Fouling and slagging Fuel quality, combustion conditions Rising gas temperatures and pressure drop Temperature and ΔP trends; soot blowing, combustion tuning
Unstable coal feed or mill faults Wet coal, wear, sensor drift Firing swings, feed rate deviation Feeder and mill checks, calibration; repair and recalibrate
Drum level instrument failure Sensor drift, impulse line problems Level hunting, disagreement between transmitters Calibration and loop checks; recalibrate or replace
Failure modeTypical causesEarly warningDetect & act
Stator insulation degradation Thermal ageing, moisture, partial discharge Falling insulation resistance, rising discharge activity Insulation and partial discharge testing; clean, dry or repair
Rotor shorted turns Thermal and mechanical stress Vibration changing with field current Flux probe and vibration review; repair at outage
Shaft current bearing damage Shaft voltage, failed grounding Bearing wear, high shaft voltage Check grounding brushes and insulation; restore protection
Cooling system faults Blocked coolers, leaks, poor gas purity Rising winding temperatures Temperature and gas purity trends; clean or repair coolers
Failure modeTypical causesEarly warningDetect & act
Feedwater pump failure Cavitation, seal or bearing wear Vibration, flow or pressure drop Vibration and performance trends; overhaul
Condenser fouling or leaks Scale, biofouling, tube damage Vacuum loss, chemistry excursions Back-pressure and conductivity trends; clean, plug tubes
Transformer insulation fault Overheating, ageing, moisture Rising gases in oil, hot spots Dissolved gas analysis and thermography; repair or replace
ID/FD fan imbalance Erosion, deposits, bearing wear Rising vibration Vibration monitoring; clean, balance, replace bearings

How Failure Modes Are Scored: Risk Priority Number

Classic FMEA scores each failure mode on three scales from 1 to 10 and multiplies them. A higher number means act sooner. Many organisations also use action-priority methods, so follow whichever your site has adopted. Book a demo to see risk linked to PM tasks.

9
Severity
How bad is the effect?
×
4
Occurrence
How likely is it?
×
5
Detection
How hard is it to catch?
=
180
RPN
Illustrative example

Your FMEA Says the Bearing Can Fail. Does Your PM Plan Know It?

When failure modes live in a spreadsheet, nothing forces them into inspections or work orders. OxMaint AI keeps failure history, findings and recurring tasks on the same asset, so risk shows up in what gets scheduled.

Build a Living FMEA in Five Steps

1
Define
List critical assets and their functions.
2
List modes
Capture how each asset can fail and why.
3
Score
Rank by severity, likelihood and detectability.
4
Assign action
Choose inspection, monitoring or PM for each mode.
5
Learn
Update scores from real failures and findings.

How OxMaint AI Supports Failure Mode Analysis

Asset Hierarchy
Plant, unit, system and component structure.
Failure Records
Cause, effect and repair stored per asset.
Inspection Findings
Readings and photos tied to the asset.
Defect to Work Order
Findings become assigned, tracked repairs.
Recurring PM
Tasks scheduled against known failure modes.
Repeat Failure Visibility
See which assets keep failing the same way.

Frequently Asked Questions

What is failure mode analysis in a power plant?
A structured way to identify how equipment can fail, why, what the effects are and how to detect or prevent it. Start free and build your library.
What is the difference between FMEA and root cause analysis?
FMEA looks ahead to anticipate failures. Root cause analysis looks back at a failure that has happened. They work best together. Book a demo of failure history.
What are common turbine, boiler and generator failure modes?
Vibration and bearing faults on turbines, tube leaks and fouling on boilers, and insulation and cooling faults on generators. Your own history is the best guide. Start free and log your history.
How does FMEA connect to preventive maintenance?
Each significant failure mode should map to an inspection, monitoring task or PM action that detects or prevents it. Book a demo of PM linking.
How does a CMMS support reliability engineering?
OxMaint AI keeps asset history, findings, work orders and PM in one place, so reliability decisions rest on real data. Start free and see it work.

Turn Failure Knowledge Into Scheduled Work.

Record what failed, link it to the asset, act on early warnings and keep improving the plan. Start with one critical system and build from there.


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