scholarly journals U.S. Navy On-Line Compressor Washing of Marine Gas Turbine Engines

1991 ◽  
Author(s):  
Harry Margolis
Keyword(s):  
Gas Turbine ◽  
Turbine Engines ◽  
Gas Turbine Engines ◽  
General Electric ◽  
Maintenance Practice ◽  
On Line ◽  
Compressor Efficiency

Compressor waterwashing is a necessary maintenance practice to maintain compressor efficiency for all types of gas turbine engines. This paper discusses U.S. Navy involvement with prototype on-line compressor cleaning systems on marine gas turbine engines. These engines include the General Electric LM2500, the Garrett 831-800, and the Allison 501-K17.

On-Line Detergent Washing: Reducing the Environmental Effects on the LCAC Gas Turbine Engines

1992 ◽  
Author(s):  
Jeffrey S. Patterson ◽  
Soren K. Spring
Keyword(s):  
Gas Turbine ◽  
Systems Engineering ◽  
Present Method ◽  
Engine Performance ◽  
Turbine Engines ◽  
Harsh Environment ◽  
Gas Turbine Engines ◽  
Test Results ◽  
On Line ◽  
Air Cushion

The Landing Craft Air Cushion (LCAC) gas turbine engines operate in an extremely harsh environment and are exposed to excessive amounts of foreign contaminants. The present method of crank washing is effective when properly performed, but is labor intensive and increases craft downtime. Naval Ship Systems Engineering Station (NAVSSES) designed and installed a prototype on-line detergent wash system which reduced maintenance and craft downtime. Initial test results indicated that the system reduced engine performance degradation and corrosion.

Development of FT9 Marine Gas Turbine

1981 ◽  
Author(s):  
D. A. Groghan ◽  
C. L. Miller
Keyword(s):  
Gas Turbine ◽  
Development Program ◽  
Turbine Engines ◽  
Gas Turbine Engines ◽  
Turbine Engine ◽  
System A ◽  
On Line ◽  
Condition Monitoring System ◽  
Industrial Gas Turbine ◽  
Engine Condition

The FT9 Marine Gas Turbine development program was initiated in August 1973 by the Naval Sea Systems Command to fulfill, in part, the requirement for a family of gas turbine engines ranging in power from 1000 to 30,000 hp. The FT9 satisfied the requirement to develop a 30,000 hp class marine gas turbine. The FT9 is a derivative of the Pratt & Whitney Aircraft JT9D engine, which powers Boeing 747, DC-10 and A300 aircraft, and of the FT4 industrial gas turbine engine. The FT9 specification also required development of an on-line engine condition monitoring system. A rigorous development test program showed the FT9 has met all specified U.S. Navy requirements and demonstrated its suitability for use in U.S. Navy combatant ships.

Resultant Benefits of Standardized Overhaul Packages for LM2500 Propulsion Gas Turbine Engines in U.S. Navy Applications

2004 ◽  
Author(s):  
Matthew J. Driscoll ◽  
Joseph Picozzi
Keyword(s):  
Gas Turbine ◽  
Condition Based Maintenance ◽  
Turbine Engines ◽  
Gas Turbine Engines ◽  
General Electric ◽  
Turbine Engine ◽  
Gas Generators ◽  
Useful Life ◽  
And Performance ◽  
Unites States

This paper discusses the Unites States Navy’s program to standardize repair and overhaul packages/workscopes for their LM2500 propulsion gas turbine engines. The General Electric LM2500 gas turbine engine is utilized for main propulsion aboard the Navy’s newest surface combatants including the FFG 7, DD 963, CG 47 and DDG 51 class ships. The Navy employs a condition based maintenance philosophy for its fleet of 450 LM2500 engines; removing engines from ships only when in place corrective actions can no longer be effected. Consequently, most LM2500 gas generators and power turbines have exhausted much of their useful life once they arrive at the depot for overhaul. Beginning in 1999, NAVSEA implemented a standardized workscope for these engines to ensure post repair life and performance goals were achieved. This paper discusses the contents of the standardize repair package and the resultant benefits and metrics associated with its execution at both military and commercial facilities.

scholarly journals Calculating gas turbine thermodynamic cycle using GateCycle TM software

2017 ◽  
Vol 20 (K5) ◽  
pp. 30-36
Author(s):  
Manh Duc Vu ◽  
Thang Huy Ha ◽  
Thang Trong Dao ◽  
Kien Trung Nguyen
Keyword(s):  
Gas Turbine ◽  
High Mobility ◽  
Thermodynamic Cycle ◽  
Turbine Engines ◽  
Gas Turbine Engines ◽  
General Electric ◽  
Engine Operation

Gas turbine engines are widely used in aviation and naval ships for their compactness and high mobility. In Vietnam, the researches and investigations for this type of engine are less interested. In this paper, the authors present methods of modeling and calculating gas turbine thermodynamic cycle by using the General Electric software – GateCycleTM. The results can be used for the study of gas turbine engines and for engine operation.

scholarly journals An Advanced Facility for the Analysis of Gas Turbine Exhausts

1984 ◽  
Author(s):  
R. E. Pearce ◽  
R. D. Wood
Keyword(s):  
Gas Turbine ◽  
High Technology ◽  
Gas Analysis ◽  
Turbine Engines ◽  
Gas Turbine Engines ◽  
Data Logging ◽  
Skilled Personnel ◽  
On Line ◽  
Computer Controlled ◽  
Commercial Equipment

The requirement for an advanced gas analysis facility arose because improved combustors were needed for high technology gas turbine engines, as well as due to increased awareness of environmental pollution. To meet these needs, a system was specifically designed for use on a stationary gas turbine. The system is fully mobile and controlled semi-automatically and requires only semi-skilled personnel to operate it. Features not available on standard commercial equipment were introduced, particularly the incorporation of a computer controlled logging system which provides processed results on-line. All the design criteria were met and the system has been used with success on a variety of engine and rig projects. This paper describes the design and use of this facility as well as the use of the data logging system. Finally the benefits derived from the system are presented.

scholarly journals Integration of On-Line and Off-Line Diagnostic Algorithms for Aircraft Engine Health Management

2007 ◽  
Author(s):  
Takahisa Kobayashi ◽  
Donald L. Simon
Keyword(s):  
Gas Turbine ◽  
Health Management ◽  
Diagnostic Algorithm ◽  
Aircraft Engine ◽  
Turbine Engines ◽  
Gas Turbine Engines ◽  
Simulation Environment ◽  
Diagnostic Algorithms ◽  
Engine Model ◽  
On Line

This paper investigates the integration of on-line and off-line diagnostic algorithms for aircraft gas turbine engines. The on-line diagnostic algorithm is designed for in-flight fault detection. It continuously monitors engine outputs for anomalous signatures induced by faults. The off-line diagnostic algorithm is designed to track engine health degradation over the lifetime of an engine. It estimates engine health degradation periodically over the course of the engine’s life. The estimate generated by the off-line algorithm is used to “update” the on-line algorithm. Through this integration, the on-line algorithm becomes aware of engine health degradation, and its effectiveness to detect faults can be maintained while the engine continues to degrade. The benefit of this integration is investigated in a simulation environment using a nonlinear engine model.

Compressor Fouling Testing on Rolls Royce/Allison 501-K17 and General Electric LM2500 Gas Turbine Engines

2002 ◽  
Author(s):  
Daniel E. Caguiat ◽  
David M. Zipkin ◽  
Jeffrey S. Patterson
Keyword(s):  
Gas Turbine ◽  
Fuel Economy ◽  
Gas Turbines ◽  
Turbine Engines ◽  
Data Sets ◽  
Gas Turbine Engines ◽  
Test Plan ◽  
General Electric ◽  
Compressor Performance ◽  
Naval Surface Warfare

As part of the Gas Turbine Condition Based Maintenance (CBM) Program, Naval Surface Warfare Center, Carderock Division Code 9334 conducted compressor fouling testing on the General Electric LM2500 and Rolls Royce/Allison 501-K Series gas turbines. The objective of these tests was to determine the feasibility of quantifying compressor performance degradation using existing and/or added engine sensors. The end goal of these tests will be to implement an algorithm in the Navy Fleet that will determine the optimum time to detergent crank wash each gas turbine based upon compressor health, fuel economy and other factors which must be determined. Fouling tests were conducted at the Land Based Engineering Site (LBES). For each gas turbine, the test plan that was utilized consisted of injecting a salt solution into the gas turbine inlet, gathering compressor performance and fuel economy data, analyzing the data to verify sensor trends, and assessing the usefulness of each parameter in determining compressor and overall gas turbine health. Based upon data collected during these fouling tests, it seems feasible to accomplish the end goal. Impact Technologies, who analyzed the data sets for both of these fouling tests, has developed a prognostic modeling approach for each of these gas turbines using a combination of the data and probabilistic analysis.

Common Threads for Marine Gas Turbine Engines in U.S. Navy Applications

2007 ◽  
Author(s):  
Americo Bonafede ◽  
Dennis Russom ◽  
Matthew Driscoll
Keyword(s):  
Gas Turbine ◽  
Marine Environment ◽  
Gas Turbine Engine ◽  
Turbine Engines ◽  
Gas Turbine Engines ◽  
General Electric ◽  
Turbine Engine ◽  
The Status ◽  
The Common

This paper discusses the common threads that have been gleaned by the Navy in having operated many different gas turbine engines in a marine environment for nearly thirty years. The status of the Navy’s Honeywell TF40B, Rolls Royce 501 and General Electric LM2500 gas turbine engine programs is discussed.

Gas Path On-line Fault Diagnostics Using a Nonlinear Integrated Model for Gas Turbine Engines

2014 ◽  
Vol 31 (3) ◽  
Author(s):  
Feng Lu ◽  
Jin-quan Huang ◽  
Chun-sheng Ji ◽  
Dong-dong Zhang ◽  
Hua-bin Jiao
Keyword(s):  
Gas Turbine ◽  
Integrated Model ◽  
Turbine Engines ◽  
Gas Turbine Engines ◽  
Fault Diagnostics ◽  
On Line

scholarly journals Integration of On-Line and Off-Line Diagnostic Algorithms for Aircraft Engine Health Management

2007 ◽  
Vol 129 (4) ◽  
pp. 986-993 ◽  
Author(s):  
Takahisa Kobayashi ◽  
Donald L. Simon
Keyword(s):  
Gas Turbine ◽  
Health Management ◽  
Diagnostic Algorithm ◽  
Aircraft Engine ◽  
Turbine Engines ◽  
Gas Turbine Engines ◽  
Simulation Environment ◽  
Diagnostic Algorithms ◽  
Engine Model ◽  
On Line

This paper investigates the integration of on-line and off-line diagnostic algorithms for aircraft gas turbine engines. The on-line diagnostic algorithm is designed for in-flight fault detection. It continuously monitors engine outputs for anomalous signatures induced by faults. The off-line diagnostic algorithm is designed to track engine health degradation over the lifetime of an engine. It estimates engine health degradation periodically over the course of the engine’s life. The estimate generated by the off-line algorithm is used to “update” the on-line algorithm. Through this integration, the on-line algorithm becomes aware of engine health degradation, and its effectiveness to detect faults can be maintained while the engine continues to degrade. The benefit of this integration is investigated in a simulation environment using a nonlinear engine model.

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