A Gas Turbine Condition-Monitoring System

1995 ◽  
Vol 107 (6) ◽  
pp. 23-33 ◽  
Author(s):  
James R. Hardin ◽  
Ivan L. Howell ◽  
J. Richard Mirilovich ◽  
John J. Hartranft ◽  
David L. Schreder
Keyword(s):  
Gas Turbine ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Condition Monitoring System

Trends™: An Automatic Gas Turbine Diagnostic System

1975 ◽  
Author(s):  
J. R. Passalacqua
Keyword(s):  
Gas Turbine ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Diagnostic System ◽  
Data Systems ◽  
Standard Field ◽  
Military Aviation ◽  
Condition Monitoring System ◽  
And Performance ◽  
Engine Condition

This paper describes the development, operation and performance of an automatic engine condition monitoring system by Hamilton Standard Division of United Aircraft. This development is a direct outgrowth of Airborne Integrated Data Systems (AIDS), which have been developed for commercial and military aviation. Application of this technology to an installation at Hartford Electric Light Company’s South Meadow facility led to the development of the system currently being installed at several major utilities and marketed by Hamilton Standard. Field results of the HELCO testing are presented herein. As current installation information becomes available it will be made available to industry.

Marine Gas Turbine Condition Monitoring by Gas Path Electrostatic Detection Techniques

1991 ◽  
Author(s):  
R. A. Cartwright ◽  
C. Fisher
Keyword(s):  
Gas Turbine ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Joint Research ◽  
Detection Techniques ◽  
Debris Particles ◽  
On Line ◽  
Path Condition ◽  
Condition Monitoring System ◽  
And Performance

It was discovered in 1970 that certain gas turbine failures are preceded by an increase in electrostatic activity in the exhaust gases. Joint research by the Royal Aerospace Establishment and Stewart Hughes Limited demonstrated that this characteristic could be used to provide an on-line monitor of the precursors to these failures. An extension of the research applied the theory to the detection of foreign objects ingested into engine inlets. The characteristics and performance of both the Ingested Debris Monitoring System (IDMS) and Engine Distress Monitoring System (EDMS) were examined during a recent 2000 hours endurance trial of a Rolls-Royce Marine Spey gas turbine. The EDMS produced clear evidence of the minor combustor degradation that occurred steadily throughout the trial and also reflected the absence of other engine damage. IDMS data showed that few significant debris particles passed through the engine. Video endoscope and visual inspection confirmed these results. Debris seeding trials further explored the capability of the IDMS to identify the damaging nature of debris and to assess the EDMS signature of consequential engine damage. The paper concludes that electrostatic monitoring at engine inlet and exhaust can identify the ingestion of debris, consequential engine damage and the onset of unexpected distresses caused by blade rubs or combustor degradation. The technique shows potential to provide early warning of certain types of engine damage to Engineer Officers at sea and development into a rugged gas path condition monitoring system continues.

Parametric Modeling of Exhaust Gas Emission From Natural Gas Fired Gas Turbines

1996 ◽  
Vol 118 (3) ◽  
pp. 553-560 ◽  
Author(s):  
L. E. Bakken ◽  
L. Skogly
Keyword(s):  
Air Pollution ◽  
Gas Turbine ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Gas Turbines ◽  
Nox Emissions ◽  
Exhaust Gas ◽  
On Line ◽  
Condition Monitoring System ◽  
Line Condition

Increased focus on air pollution from gas turbines in the Norwegian sector of the North Sea has resulted in taxes on CO2. Statements made by the Norwegian authorities imply regulations and/or taxes on NOx emissions in the near future. The existing CO2 tax of NOK 0.82/Sm3 (US Dollars 0.12/Sm3) and possible future tax on NOx are analyzed mainly with respect to operating and maintenance costs for the gas turbine. Depending on actual tax levels, the machine should be operated on full load/optimum thermal efficiency or part load to reduce specific exhaust emissions. Based on field measurements, exhaust emissions (CO2, CO, NOx, N20, UHC, etc.) are established with respect to load and gas turbine performance, including performance degradation. Different NOx emission correlations are analyzed based on test results, and a proposed prediction model presented. The impact of machinery performance degradation on emission levels is particularly analyzed. Good agreement is achieved between measured and predicted NOx emissions from the proposed correlation. To achieve continuous exhaust emission control, the proposed NOx model is implemented to the on-line condition monitoring system on the Sleipner A platform, rather than introducing sensitive emission sensors in the exhaust gas stack. The on-line condition monitoring system forms an important tool in detecting machinery condition/degradation and air pollution, and achieving optimum energy conservation.

Fuzzy Condition Monitoring System for Aviation Gas Turbine Engines

2007 ◽  
Author(s):  
P. S. Abdullayev ◽  
A. M. Pashayev ◽  
R. A. Sadiqov ◽  
A. J. Mirzoyev
Keyword(s):  
Gas Turbine ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Technical Condition ◽  
Regression Equations ◽  
Gas Temperature ◽  
Adequate Model ◽  
Technology Application ◽  
Condition Monitoring System ◽  
Skewness And Kurtosis

In this paper is shown the efficiency of the new Soft Computing technology application at different diagnosing stages of aviation gas turbine engine (GTE) technical condition with using Fuzzy Logic and Neural Networks methods, when the flight information has property of a fuzzy, limitation and uncertainty. On the fuzzy statistical data basis and with high accuracy is made the training of Fuzzy Multiple Linear and Non-Linear models (Fuzzy Regression Equations). Thus for GTE technical condition more adequate model making are analysed dynamics of skewness and kurtosis coefficients’ changes. Researches of skewness and kurtosis coefficients values’ changes show that, distributions of GTE work parameters have fuzzy character. Hence consideration of fuzzy skewness and kurtosis coefficients is expedient. Investigation of the basic characteristics changes’ dynamics of GTE work parameters allows to draw conclusion on necessity of the Fuzzy Statistical Analysis at preliminary identification of the engines’ technical condition. Researches of correlation coefficients values’ changes shows also on their fuzzy character. Therefore for models choice the application of the Fuzzy Correlation Analysis results is offered. For checking of models adequacy is considered the Fuzzy Multiple Correlation Coefficient of Fuzzy Multiple Regression. With a view of completeness of GTE technical condition diagnosing in this paper are considered Fuzzy Thermodynamic Models. As output parameter of these models the outlet gas temperature of gas turbine (turbine exhaust gas temperature -EGT) expediency is considered. In view of limitation of controllable parameters’ structure are used also semiempirical models. The developed GTE condition monitoring system provides stage-by-stage estimation of engine technical conditions. As application of the given technique the estimation of the new operating aviation engine temperature condition was made.

U.S. Navy, LM2500 Gas Turbine Condition Monitoring Development Experience

1980 ◽  
Author(s):  
M. G. Kandl ◽  
D. A. Groghan
Keyword(s):  
Gas Turbine ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Development Program ◽  
Turbine Engines ◽  
Gas Turbine Engines ◽  
Marine Application ◽  
Development Experience ◽  
Condition Monitoring System ◽  
The Impact

A review of U.S. Navy experience in the development of a shipboard gas turbine condition monitoring system (CMS) is presented. The system considered was developed for use with the 20,000 HP General Electric, LM2500 main propulsion gas turbine engines used on the Navy’s DD-963 class destroyers and FFG-7 patrol frigate class ships. The initial CMS development program started with a broad range of measured gas turbine parameters and was successively reduced to a simpler system using only selected parameters useful for the marine application. A land-based test as well as an at-sea test is presented, together with a discussion of the impact such a system would have on DD 963 class engine removals.

Parametric Modelling of Exhaust Gas Emission From Natural Gas Fired Gas Turbines

1995 ◽  
Author(s):  
L. E. Bakken ◽  
L. Skogly
Keyword(s):  
Air Pollution ◽  
Gas Turbine ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Gas Turbines ◽  
Nox Emissions ◽  
Exhaust Gas ◽  
On Line ◽  
Condition Monitoring System ◽  
Line Condition

Increased focus on air pollution from gas turbines in the Norwegian sector of the North Sea has resulted in taxes on CO2. Statements made by the Norwegian authorities imply regulations and/or taxes on NOx emissions in the near future. The existing CO2-tax of NOK 0.82 /Sm3 (US Dollars 0.12/Sm3) and possible future tax on NOx are analysed mainly with respect to operating and maintenance costs for the gas turbine. Depending on actual tax levels, the machine should preferably be operated on full load/optimum thermal efficiency or part load to reduce specific exhaust emissions. Based on field measurements, exhaust emissions (CO2, CO, NOx, N2O, UHC etc.) are established with respect to load and gas turbine performance, including performance degradation. Different NOx emission correlations are analysed based on test results, and a proposed prediction model presented. The impact of machinery performance degradation on emission levels is particularly analysed. Good agreement is achieved between measured and predicted NOx emissions from the proposed correlation. To achieve continuous exhaust emission control, the proposed NOx model is implemented to the on-line condition monitoring system on the Sleipner A platform, rather than introducing sensitive emission sensors in the exhaust gas stack. The on-line condition monitoring system forms an important tool in detecting machinery condition/degradation, air pollution and achieving optimum energy conservation.

scholarly journals DESIGN OF A COMPREHENSIVE CONDITION MONITORING SYSTEM FOR GAS TURBINE ENGINES

2011 ◽  
Author(s):  
David May ◽  
Steven Farber ◽  
Vincient Poirier ◽  
Chien Yu Chen ◽  
Ion Stiharu
Keyword(s):  
Gas Turbine ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Mechanical Systems ◽  
Cost Effective ◽  
Turbine Engines ◽  
Design Team ◽  
Gas Turbine Engines ◽  
Condition Monitoring System ◽  
Capstone Design

This report contains the work of the capstone design team, assigned to design a comprehensive, cost effective, monitoring system for gas turbine engines. The main objective of the design was to produce a system capable of detecting and recording only special conditions or events. As a sample engine, the SR-30 gas turbine was used. A simulation of the engine using GSP software provided a model. The model was used to determine the healthy operation of the engine. The integration of a developed algorithm has enabled the system to be used for aerodynamic component monitoring, as well as, mechanical systems monitoring.

Description of a Vibration Diagnostic Trending Approach for a Condition Monitoring System for the LM2500 Gas Turbine

1995 ◽  
Author(s):  
John J. Hartranft
Keyword(s):  
Gas Turbine ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Technical Information ◽  
Diagnostic System ◽  
Vibration Monitoring ◽  
Engine Operation ◽  
Vibration Data ◽  
Marine Propulsion ◽  
Condition Monitoring System

In a gas turbine marine propulsion installation, especially a military type role, the design of an effective gas turbine vibration diagnostic system must provide both technical information for maintenance and operational risk assessment for continued engine operation. In order to fulfill these criteria, a vibration monitoring system must provide not only a feedback of measured vibration levels, it must also provide an interpretation of those levels. This paper describes a potential approach to trending LM2500 gas turbine generated vibration data for use in a condition monitoring system.

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