Health Monitoring of Variable Geometry Gas Turbines for the Canadian Navy

Muir, D. E.; Saravanamuttoo, H. I. H.; Marshall, D

doi:10.1115/1.3240243

Cited by 83 publications

(43 citation statements)

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“…However, SF values are closely dependent on the characteristics of each compressor and vary significantly. Guessing a SF value for a specific engine could incur a large uncertainty and requires guidance from field test data such as the values shown in [15]. An ill assigned (or guessed) SF value will lead to misleading or even completely false results.…”

Section: Assessment Of Using a Constant Shape Factor And The Generalimentioning

confidence: 99%

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Overspray and Interstage Fog Cooling in Compressor Using Stage-Stacking Scheme: Part 2—Case Study

Wang

Khan

2008

Volume 7: Education; Industrial and Cogeneration; Marine; Oil and Gas Applications

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A stage-by-stage wet-compression theory and algorithm have been developed for overspray and interstage fogging in the compressor. This theory and algorithm are used to calculate the performance of an 8-stage compressor under both dry and wet compressions. A 2D compressor airfoil geometry and stage setting at the mean radius are employed. Six different cases with and without overspray have been investigated and compared. The stage pressure ratio enhances during all fogging cases as does the overall pressure ratio, with saturated fogging (no overspray) achieving the highest pressure ratio. Saturated fogging reduces specific compressor work, but increases the total compressor power due to increased mass flow rate. The results of overspray and interstage spray unexpectedly show that both the specific and overall compressor power do not reduce but actually increase. Analysis shows this increased power is contributed by increased pressure ratio and, for interstage overspray, "recompression" contributes to more power consumption. Also it is unexpected to see that air density actually decreases, instead of increases, inside the compressor with overspray. Analysis shows that overspray induces an excessive reduction of temperature that leads to an appreciable reduction of pressure, so the increment of density due to reduced temperature is less than decrement of air density affected by reduced pressure as air follows the polytropic relationship. In contrast, saturated fogging results in increased density as expected.After the interstage spray, the local blade loading immediately showed a significantly increase. Fogging increases axial velocity, flow coefficient, blade inlet velocity, incidence angle, and tangential component of velocity. The analysis also assesses the use of an average shape factor in the generalized compressor stage performance curve when the compressor stage information and performance map are not available. The result indicates that using a constant shape factor might not be adequate because the compressor performance map may have changed with wet compression. The results of non-stagestacking simulation are shown to underpredict the compressor power by about 6% and net GT output by about 2% in the studied cases.

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Section: Assessment Of Using a Constant Shape Factor And The Generalimentioning

confidence: 99%

“…al. [15] the SF values are between 0 and 1. The positive root, which is less than unity found from Eq.…”

Section: Assessment Of Using a Constant Shape Factor And The Generalimentioning

confidence: 99%

Overspray and Interstage Fog Cooling in Compressor Using Stage-Stacking Scheme: Part 2—Case Study

Wang

Khan

2008

Volume 7: Education; Industrial and Cogeneration; Marine; Oil and Gas Applications

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“…From steady-state characteristics map generated by the field operating data [21], compressor mass flow G c and component efficiency η can be calculated by Equation (1), which can be used to calculate the power required and the temperature of the discharge air.…”

Section: Modeling Of Gas Turbinementioning

confidence: 99%

Research on Model-Based Fault Diagnosis for a Gas Turbine Based on Transient Performance

2018

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Abstract:It is essential to monitor and to diagnose faults in rotating machinery with a high thrust-weight ratio and complex structure for a variety of industrial applications, for which reliable signal measurements are required. However, the measured values consist of the true values of the parameters, the inertia of measurements, random errors and systematic errors. Such signals cannot reflect the true performance state and the health state of rotating machinery accurately. High-quality, steady-state measurements are necessary for most current diagnostic methods. Unfortunately, it is hard to obtain these kinds of measurements for most rotating machinery. Diagnosis based on transient performance is a useful tool that can potentially solve this problem. A model-based fault diagnosis method for gas turbines based on transient performance is proposed in this paper. The fault diagnosis consists of a dynamic simulation model, a diagnostic scheme, and an optimization algorithm. A high-accuracy, nonlinear, dynamic gas turbine model using a modular modeling method is presented that involves thermophysical properties, a component characteristic chart, and system inertial. The startup process is simulated using this model. The consistency between the simulation results and the field operation data shows the validity of the model and the advantages of transient accumulated deviation. In addition, a diagnostic scheme is designed to fulfill this process. Finally, cuckoo search is selected to solve the optimization problem in fault diagnosis. Comparative diagnostic results for a gas turbine before and after washing indicate the improved effectiveness and accuracy of the proposed method of using data from transient processes, compared with traditional methods using data from the steady state.

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“…The compressor off-design characteristics were derived by applying a stage-stacking analysis [34][35][36], while the calculations of the isentropic efficiency of each stage were based on the pressure drop assumptions presented in Templalexis et al [37], and the works of Lieblein [38] and Saravanamuttoo et al [39]. The gas turbine off-design characteristics were derived following the method described in Stodola [40] and in Traupel [41].…”

Section: Thermoenvironomic Modellingmentioning

confidence: 99%

Oil and gas platforms with steam bottoming cycles: System integration and thermoenvironomic evaluation

et al. 2014

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Health Monitoring of Variable Geometry Gas Turbines for the Canadian Navy

Cited by 83 publications

References 0 publications

Overspray and Interstage Fog Cooling in Compressor Using Stage-Stacking Scheme: Part 2—Case Study

Overspray and Interstage Fog Cooling in Compressor Using Stage-Stacking Scheme: Part 2—Case Study

Research on Model-Based Fault Diagnosis for a Gas Turbine Based on Transient Performance

Oil and gas platforms with steam bottoming cycles: System integration and thermoenvironomic evaluation

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