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.

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.

Fiberscope-based engine condition monitoring system

2003 ◽  
Author(s):  
Tomasz Podeszwa ◽  
Leszek R. Jaroszewicz ◽  
Krzysztof Cyran
Keyword(s):  
Monitoring System ◽  
Condition Monitoring ◽  
Condition Monitoring System ◽  
Engine Condition

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

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.

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