Reliability Consulting for Gas Turbines
Specialized Reliability Consulting programs for Gas Turbine Reliability & Maintenance.
47% — Reduction in unplanned downtime
85% — Faults detected before failure
3-6mo — Typical fault lead time
Why it matters
What Are the Key Benefits?
Failure Pattern Analysis
Statistical analysis of gas turbines failure histories identifies chronic problems and recurring failure patterns affecting the compressor blades, combustion liners, turbine nozzles, bearings, and fuel system. Data-driven prioritization focuses engineering resources on the highest-impact reliability improvements.
Maintenance Strategy Optimization
Reliability modeling determines the most cost-effective maintenance approach for each failure mode in gas turbines, balancing preventive, predictive, and run-to-failure strategies. This eliminates unnecessary maintenance tasks while reducing unplanned failures.
Spare Parts Optimization
Reliability analysis of gas turbines failure rates and lead times optimizes critical spare parts inventory levels. Proper stocking prevents extended downtime from parts shortages without tying up excess capital in slow-moving inventory.
Context
What Challenges Does This Solve?
The Reliability Challenge
Gas turbine reliability is dominated by hot gas path component life, which is consumed at rates that depend on firing temperature, fuel composition, start/stop cycles, and operating load profile. Equivalent operating hours models must weight these factors accurately to predict remaining hot section life. Combustion system reliability is affected by fuel quality variations that cause flashback, lean blowout, or combustion dynamics issues. Control and protection system reliability affects turbine availability through spurious trips. Inlet air filtration system effectiveness impacts compressor fouling rates. We model all these factors in an integrated reliability framework that captures the interconnected nature of gas turbine system reliability.
Our Approach
We develop an EOH model specific to the gas turbine model and site operating profile, incorporating start penalties, load-dependent life consumption rates, fuel quality adjustments, and ambient temperature corrections. Historical failure and maintenance data is analyzed to validate the EOH model against actual component replacement intervals. RAM studies model the complete gas turbine package including the turbine, fuel system, lube oil system, starting system, inlet air system, and control/protection systems. We identify the subsystems with the greatest impact on overall availability and develop targeted improvement plans. Deliverables include the EOH model, RAM analysis results, availability improvement recommendations, and optimized inspection and overhaul interval planning.
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Learn More →Duty cycle is the second-biggest interval driver after asset criticality. Gas Turbine Reliability & Maintenance units running near rated capacity 24/7 should follow the tight end of the quarterly review cycles schedule. Equipment cycling on/off through the day generates additional fatigue per operating hour and may need even tighter monitoring. Standby units running occasionally can stretch the interval, but baseline runs are still needed to detect storage-related degradation.
OEM nameplate data, the unit's failure and repair history from the CMMS, current operating conditions (load, speed, temperature), and lubricant type if applicable. The baseline measurement itself runs about 20 minutes per asset for a full Reliability Consulting reading. Without baseline data, the first three months of route trending serve as a baseline window — anomalies become detectable around month 4.
Yes. Reliability Consulting measurements use MTBF, MTTR, PM compliance, planner-to-craft ratio which capture at the bearing housing, terminal box, or sampling point without disrupting operation. The Gas Turbine Reliability & Maintenance stays online during the route. Only deep diagnostic work or repairs that follow from findings require taking the equipment offline.
Duty cycle is the second-biggest interval driver after asset criticality. Gas Turbines units running near rated capacity 24/7 should follow the tight end of the quarterly review cycles schedule. Equipment cycling on/off through the day generates additional fatigue per operating hour and may need even tighter monitoring. Standby units running occasionally can stretch the interval, but baseline runs are still needed to detect storage-related degradation.
OEM nameplate data, the unit's failure and repair history from the CMMS, current operating conditions (load, speed, temperature), and lubricant type if applicable. The baseline measurement itself runs about 20 minutes per asset for a full Reliability Consulting reading. Without baseline data, the first three months of route trending serve as a baseline window — anomalies become detectable around month 4.
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Gas Turbine Reliability Optimization
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