A single missed combustion inspection on a gas turbine can cost $600,000 to $1.2 million in emergency repair and lost generation — yet most plants still track fired hours on spreadsheets and schedule outages by calendar date, not by the equivalent operating hours that actually drive component failure. CMMS software built for gas turbines changes that equation: it calculates Equivalent Operating Hours automatically, triggers inspection work orders at OEM-defined thresholds, and builds the audit trail that protects your warranty, your compliance standing, and your next capital budget request. Book a 30-minute demo to see how Oxmaint automates gas turbine maintenance scheduling from combustion inspection to major overhaul.
$1.2M
Cost of a single missed combustion inspection leading to liner burnthrough
35–45%
Of forced outages caused by hot gas path component failure
65%
Reduction in maintenance downtime with optimized runtime scheduling
18 mo
Lead time required to plan a major turbine overhaul properly
Understanding the Inspection Tiers
The Four-Tier Gas Turbine Maintenance Framework
Gas turbine maintenance is organized around four inspection tiers — not calendar dates. Each tier is triggered by Equivalent Operating Hours (EOH), a weighted measure that counts start-stop cycles and peak load events more heavily than steady-state hours, because thermal cycling is the primary failure driver in modern turbines.
Tier 1
Combustion Inspection
8,000 – 12,000 EOH
Scope Covers
Fuel nozzles, combustion liners, transition pieces, crossfire tubes, spark plugs, flame detectors
Miss Risk: High
Liner burnthrough raises exhaust temp 40–80°C — accelerates HRSG tube creep into emergency territory
Tier 2
Hot Gas Path Inspection
24,000 EOH
Scope Covers
Stage 1 & 2 turbine blades, nozzles, shrouds, ring segments, film cooling holes, thermal barrier coatings
Miss Risk: Critical
Stage 1 bucket cracking is the leading cause of forced outages in F-class and H-class units
Tier 3
Major Inspection
48,000 EOH
Scope Covers
Full flange-to-flange disassembly — compressor rotor, all turbine stages, bearings, seals, accessory gear, control system calibration
Planning: 18 Months Out
Parts procurement, OEM coordination, and outage scheduling require planning start 18 months before threshold
Ongoing
Borescope Program
Between Outages
Scope Covers
First-stage blade condition, combustion hardware, transition piece aft frames — internal view without full disassembly
Condition-Based
Supports interval optimization but does not replace scheduled CI or HGPI outages — findings feed CMMS condition records
The EOH Problem
Why Calendar Scheduling Fails Gas Turbines
A cycling turbine dispatched daily accumulates Equivalent Operating Hours 3–4 times faster than run hours suggest. Cold starts carry a weighting factor of 150–200 run-hour equivalents. A plant tracking only clock hours will enter an outage window believing it has months of runway — when the blade fatigue budget is already exhausted.
Calendar-Based Scheduling
Maintenance triggered by date — not operating reality
Cold starts not weighted — EOH severely underestimated
Cycling units reach blade fatigue limits before inspection
Spreadsheet update lag — hours often 3–4 weeks stale
Manual calculation errors on FFH and FFS
No early warning — failure is the first signal
Oxmaint EOH-Based Scheduling
SCADA/DCS feeds run hours directly — no manual entry
Cold, warm, hot start factors configured per OEM model
Work orders trigger at 90% of EOH threshold — lead time built in
EOH calculated in real time — always current
Parts procurement alert auto-fires 18 months before major
Inspection window never missed — even across multi-unit fleets
Stop Scheduling Turbine Maintenance by Calendar Date
Oxmaint connects to your SCADA or DCS to calculate EOH in real time, automatically triggers work orders at OEM-defined thresholds, and alerts your procurement team 18 months before the next major inspection. Deploy across your full turbine fleet in 8–12 weeks.
Hot Section Deep Dive
What CMMS Tracks Inside the Hot Gas Path
The hot section — combustion through Stage 2 turbine — is where failure starts and where maintenance budget is spent. A gas turbine CMMS tracks condition at the component level, not just the asset level, because liner burnthrough and Stage 1 bucket cracking each have different failure modes, different inspection intervals, and different consequence profiles.
Combustion Zone
Fuel Nozzles
Flow calibration, coking deposits, tip erosion — CI interval
Combustion Liners
Burnthrough risk, weld integrity, dilution hole condition — CI + borescope
Transition Pieces
UT wall thickness, aft frame cracking, cooling hole blockage — CI interval
Turbine Stage 1
S1 Buckets (Blades)
Thermal fatigue cracking, leading/trailing edge, cooling hole blockage — HGPI interval
S1 Nozzles
Oxidation, TBC spallation, life vs 2-HGPI expectancy — HGPI interval
Shrouds / Ring Segments
Tip clearance, erosion rate, cracking — HGPI interval
Turbine Stage 2
S2 Buckets
Creep elongation, oxidation depth, coating condition — HGPI interval
S2 Nozzles
Pressure drop, erosion, weld repair history — HGPI interval
Exhaust Diffuser
Last-stage stator vane erosion, moisture damage — HGPI + major
Platform Capabilities
What Oxmaint Delivers for Gas Turbine Operations
Purpose-built for high-criticality rotating equipment, Oxmaint combines EOH-based scheduling, component-level life tracking, SCADA integration, mobile field documentation, and compliance export in a single platform that works for both the maintenance planner and the field engineer on the turbine deck.
01
EOH Calculation and Threshold Tracking
SCADA and DCS integration feeds run hours automatically. Cold, warm, and hot start factors are configured per OEM model — GE, Siemens, Mitsubishi, Solar each publish model-specific multipliers. EOH updates in real time. Work orders auto-generate at 90% of the inspection threshold, giving planners lead time before the window matures.
02
Component-Level Life Tracking
Every hot section part — fuel nozzle, liner, S1 bucket, nozzle, shroud — is tracked by serial number with its own EOH consumed, shop report history, and OEM life limit. When a component approaches its design life, the system flags it for replacement planning before the next outage, preventing last-minute procurement at emergency pricing.
03
Compressor Wash Scheduling
Compressor fouling reduces output by 1–2% per week of operation in high-dust environments. Oxmaint schedules offline and online wash intervals by operating hours and ambient conditions, tracks heat rate deviation trends to justify wash timing, and documents wash completion with before/after performance data for operations reporting.
04
Outage Planning and Parts Coordination
Major inspection planning begins 18 months before threshold. Oxmaint generates a parts readiness checklist, OEM coordination task list, contractor mobilization schedule, and critical path model from the inspection EOH counter — automatically, not from a project manager's memory. Nothing waits for the outage window to open before procurement starts.
05
Borescope Findings Integration
Borescope inspection findings are logged against specific components, photographed, and severity-rated within the CMMS. Trending condition data builds the evidence base for OEM-approved interval extension — turning individual borescope records into a condition-based argument that can defer an expensive outage by thousands of EOH when the data supports it.
06
Compliance and Warranty Documentation
Every CI and HGPI produces a completed work order with as-found and as-left condition for every component, serial numbers for parts sent to refurbishment shops, torque records, and photo documentation — meeting OEM warranty requirements and NERC, OSHA PSM audit standards from the same field data capture.
50%
Reduction in unplanned downtime reported by plants on structured PM
20–40%
Extension of hot section component life through condition-based care
96–99%
PM compliance rate at 14 months on Oxmaint
4 hrs
Audit documentation package produced vs 18 staff-days on paper
"Planning a major inspection starts 18 months out — parts procurement, OEM coordination, outage scheduling. When we had that running on spreadsheets, we consistently entered the outage window underprepared. With CMMS tracking the EOH counter and triggering planning tasks automatically, the last major was the first one we've run on budget and on schedule."
Maintenance Planning Manager
880 MW Combined Cycle Gas Plant, Southeast U.S.
Frequently Asked Questions
Gas Turbine CMMS: Common Questions
How does Oxmaint calculate Equivalent Operating Hours for different turbine models?
EOH is calculated by applying OEM-published weighting factors to each start type and operating event — cold starts (unit below 50°C) typically carry 150–200 run-hour equivalents, warm starts 30–60, and peak load events add an additional multiplier. These factors are configured in Oxmaint per turbine model and OEM specification, and run hours feed automatically from SCADA or DCS — no manual data entry, no transcription lag. The EOH counter updates in real time and triggers inspection work orders at configurable thresholds.
Start a free trial to configure EOH factors for your specific turbine model and operating profile.
Can Oxmaint support multiple gas turbines in a combined cycle plant simultaneously?
Yes — Oxmaint models the full CCGT asset hierarchy including gas turbines, HRSGs, steam turbines, and balance of plant as linked assets. When a GT combustion inspection is scheduled, the system can coordinate HRSG inspection windows to align with the outage, preventing duplicate contractor mobilizations and minimizing total plant downtime. EOH tracking, work order scheduling, and compliance documentation run across all units from a single dashboard.
Book a demo to walk through multi-unit scheduling for your specific plant configuration.
How does CMMS handle hot section component life tracking between outages?
Every hot section component — fuel nozzle, combustion liner, S1 bucket, nozzle segment — is tracked by serial number with its own EOH consumed counter, shop report history, and OEM design life limit. When a component approaches its published life limit, the system generates a replacement planning alert before the next outage opens, enabling procurement at standard lead times rather than emergency pricing. Borescope findings between outages are logged against individual components and trend over time to support condition-based interval arguments.
Start a free trial to see the component life tracking module for gas turbine hot sections.
What documentation does Oxmaint produce for OEM warranty compliance?
Each combustion inspection and HGPI produces a completed work order containing as-found and as-left condition for every component removed, serial numbers for all parts sent for refurbishment, torque records for critical fasteners, defect photographs, and inspector attribution — meeting OEM warranty documentation requirements for GE, Siemens, Mitsubishi, and Solar Turbines. The FFH counter is reset in the system upon CI completion and the next interval is automatically set.
Book a demo to review the warranty documentation output format for your OEM's requirements.
How quickly can Oxmaint deploy for a plant already using a separate CMMS or SCADA?
Most gas turbine deployments are live in 8–12 weeks, including SCADA/DCS integration for automatic EOH feed, asset registry import from existing CMMS data, inspection template configuration per turbine class, crew training, and compliance dashboard activation. Oxmaint runs alongside existing plant systems — no rip-and-replace of SCADA, historian, or enterprise CMMS — and existing maintenance history can be imported to preserve component life records from day one.
Start a free trial to explore deployment options for your plant's existing system environment.
Gas Turbine Reliability Starts with the Right Maintenance System
Plants running Oxmaint reach 96–99% PM compliance within 14 months, cut audit preparation time by 74%, and eliminate the spreadsheet EOH calculation errors that push turbines past their safe inspection window. Your first prevented forced outage recovers the full platform investment — and every subsequent shift is compounding return.
