Advanced Sensor Approaches for Monitoring and Control of Gas Turbine Combustors
نویسندگان
چکیده
This report describes sensing strategies that were developed for monitoring the health and performance of gas turbine combustors. Sensor systems based on these approaches enable control and monitoring systems that improve combustor reliability and operability, achieve optimal performance (e.g., lower NOx emissions) over extended periods of time, reduce maintenance, prevent forced outages, and increase engine life. Specifically, we developed methods to: 1) sense imminent loss of static combustor stability, e.g., precursors to flame loss or lean blow out; 2) determine local fuel-air ratio and heat release variations that can arise from mixedness variations; and 3) sense the proximity of the combustor to its dynamic stability margin, i.e., detecting how close the system is to the point where detrimental combustion instabilities would occur. The approaches involve a combination of nonintrusive optical and acoustic sensing, as well as ion concentration probes. The methods were evaluated for their applicability in natural gas and syngas fueled combustors. In addition to tests in our laboratory, field tests of the stability margin sensing were pursued with industrial partners.
منابع مشابه
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach
Monitoring gas turbine combustors' health, in particular, early detecting abnormal behaviors and incipient faults, is critical in ensuring gas turbines operating efficiently and in preventing costly unplanned maintenance. One popular means of detecting combustors’ abnormalities is through continuously monitoring exhaust gas temperature profiles. Over the years many anomaly detection technologie...
متن کاملLarge Eddy Simulations of gaseous flames in gas turbine combustion chambers
Recent developments in numerical schemes, turbulent combustion models and the regular increase of computing power allow Large Eddy Simulation (LES) to be applied to real industrial burners. In this paper, two types of LES in complex geometry combustors and of specific interest for aeronautical gas turbine burners are reviewed: (1) laboratory-scale combustors, without compressor or turbine, in w...
متن کاملMeasurement of Instantaneous Shaft Speed by Advanced Vibration Signal Processing - Application to Wind Turbine Gearbox
Condition monitoring of machines working under non-stationary operations is one of the most challenging problems in maintenance. A wind turbine is an example of such class of machines. One of effective approaches may be to identify operating conditions and investigate their influence on used diagnostic features. Commonly used methods based on measurement of electric current, rotational speed, p...
متن کاملModel-based Approach for Multi-sensor Fault Identification in Power Plant Gas Turbines
In this paper, the multi-sensor fault diagnosis in the exhaust temperature sensors of a V94.2 heavy duty gas turbine is presented. A Laguerre network-based fuzzy modeling approach is presented to predict the output temperature of the gas turbine for sensor fault diagnosis. Due to the nonlinear dynamics of the gas turbine, in these models the Laguerre filter parts are related to the linear d...
متن کاملNew Indices for Detection of Turbine blade Tip Deformation and Estimation of Clearance Extent Using Scattering Parameter
Reliability of gas turbine power plant is related to the blade normal operation. In this paper, a new on-line condition monitoring method has been presented to evaluate two important factors affecting the turbine blades that are the tip clearance and tip deformation. A K band’s microwave sensor has been simulated and optimized in CST Microwave Studio software. Scattering parameters of the near...
متن کامل