Artificial intelligence for real time diagnostics of gas turbine engines

1997 ◽  
Author(s):  
Andrew Green ◽  
Dana Allen ◽  
Andrew Green ◽  
Dana Allen
Keyword(s):  
Artificial Intelligence ◽  
Real Time ◽  
Gas Turbine ◽  
Turbine Engines ◽  
Gas Turbine Engines

scholarly journals Real Time Neutron Radiography Applications in Gas Turbine and Internal Combustion Engine Technology

1988 ◽  
Author(s):  
John T. Lindsay ◽  
C. W. Kauffman
Keyword(s):  
Real Time ◽  
Gas Turbine ◽  
Internal Combustion Engines ◽  
Combustion Engine ◽  
Neutron Radiography ◽  
Three Dimensional ◽  
Basic Research ◽  
Internal Combustion ◽  
Turbine Engines ◽  
Gas Turbine Engines

Real Time Neutron Radiography (RTNR) is rapidly becoming a valuable tool for nondestructive testing and basic research with a wide variety of applications in the field of engine technology. The Phoenix Memorial Laboratory (PML) at the University of Michigan has developed a RTNR facility and has been using this facility to study several phenomena that have direct application to internal combustion and gas turbine engines. These phenomena include; 1) the study of coking and debris deposition in several gas turbine nozzles (including the JT8D), 2) the study of lubrication problems in operating standard internal combustion engines and in operating automatic transmissions (1, 2, 3), 3) the location of lubrication blockage and subsequent imaging of the improvement obtained from design changes, 4) the imaging of sprays inside metallic structures in both a two-dimensional, standard radiographic manner (4, 5) and in a computer reconstructed, three-dimensional, tomographic manner (2, 3), and 5) the imaging of the fuel spray from an injector in a single cylinder diesel engine while the engine is operating. This paper will show via slides and real time video, the above applications of RTNR as well as other applications not directly related to gas turbine engines.

A Diagnostic Expert System for Oil Systems of Aeroengines

1993 ◽  
Author(s):  
Hong Cao ◽  
Mei Ma
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Gas Turbine ◽  
Turbine Engines ◽  
Gas Turbine Engines ◽  
Complex Relation

DIAG, a diagnostic expert system for oil systems of aeroengines, is presented in this paper. Using artificial intelligence, DIAG, which simulates the role of human experts in solving problems, can solve the complicated problems in diagnosing the faults and failures of oil systems of gas turbine engines. The paper concentrates on the design of DIAG as well as the process of handling the complex relation and uncertainty of problems. It also includes graphic subsystem and data subsystem. It is affirmed by the expected goal of diagnosing the faults and failures of oil system and engine of CFM56 engine on Boeing 737–300 airplane.

scholarly journals Generalized High Speed Simulation of Gas Turbine Engines

1990 ◽  
Author(s):  
Nanahisa Sugiyama
Keyword(s):  
Real Time ◽  
Gas Turbine ◽  
Gas Turbines ◽  
High Speed ◽  
Power Plants ◽  
Turbine Engines ◽  
Gas Turbine Engines ◽  
Jet Engines ◽  
Industrial Gas Turbine ◽  
High Degree

This paper describes a real-time or faster-than-real-time simulation of gas turbine engines, using an ultra high speed, multi-processor digital computer, designated the AD100. It is shown that the frame time is reduced significantly without any loss of fidelity of a simulation. The simulation program is aimed at a high degree of flexibility to allow changes in engine configuration. This makes it possible to simulate various types of gas turbine engines, including jet engines, gas turbines for vehicles and power plants, in real-time. Some simulation results for an intercooled-reheat type industrial gas turbine are shown.

Development and Demonstration of a Stability Management System for Gas Turbine Engines

2006 ◽  
Author(s):  
D. Christensen ◽  
P. Cantin ◽  
D. Gutz ◽  
P. N. Szucs ◽  
A. R. Wadia ◽  
...  
Keyword(s):  
Real Time ◽  
Gas Turbine ◽  
Management System ◽  
Full Scale ◽  
Turbine Engines ◽  
Gas Turbine Engines ◽  
Engine Test ◽  
Aerodynamic Stability ◽  
The Stability ◽  
Rapid Transients

Rig and engine test processes and in-flight operation and safety for modern gas turbine engines can be greatly improved with the development of accurate on-line measurement to gauge the aerodynamic stability level for fans and compressors. This paper describes the development and application of a robust real time algorithm for gauging fan/compressor aerodynamic stability level using over-the-rotor dynamic pressure sensors. This real time scheme computes a correlation measure through signal multiplication and integration. The algorithm uses the existing speed signal from the engine control for cycle synchronization. The algorithm is simple and is implemented on a portable computer to facilitate rapid realtime implementation on different experimental platforms as demonstrated both on a full-scale high-speed compressor rig and on an advanced aircraft engine. In the multi-stage advanced compressor rig test, the compressor was moved toward stall at constant speed by closing a discharge valve. The stability management system was able to detect an impending stall and trigger opening of the valve so as to avoid compressor surge. In the full-scale engine test, the engine was configured with a one-per-rev distortion screen and transients were run with a significant amount of fuel enrichment to facilitate stall. Test data from a series of continuous rapid transients run in the engine test showed that in all cases the stability management system was able to detect an impending stall and manipulated the enrichment part of the fuel schedule to provide stall free transients.

scholarly journals Advanced Constraints Management Strategy for Real-Time Optimization of Gas Turbine Engine Transient Performance

2019 ◽  
Vol 9 (24) ◽  
pp. 5333 ◽  
Author(s):  
Theoklis Nikolaidis ◽  
Zhuo Li ◽  
Soheil Jafari
Keyword(s):  
Real Time ◽  
Gas Turbine ◽  
Management Strategy ◽  
Computational Effort ◽  
Operating Conditions ◽  
Control Mode ◽  
Turbine Engines ◽  
Gas Turbine Engines ◽  
Transient Performance ◽  
Fully Automatic

Motivated by the growing technology of control and data processing as well as the increasingly complex designs of the new generation of gas turbine engines, a fully automatic control strategy that is capable of dealing with different aspects of operational and safety considerations is required to be implemented on gas turbine engines. An advanced practical control mode satisfaction method for the entire operating envelope of gas turbine engines is proposed in this paper to achieve the optimal transient performance for the engine. A constraint management strategy is developed to generate different controller settings for short-range fighters as well as long-range intercontinental aircraft engines at different operating conditions by utilizing a model predictive control approach. Then, the designed controller is tuned and modified with respect to different realistic considerations including the practicality, physical limitations, system dynamics, and computational efforts. The simulation results from a verified two-spool turbofan engine model and controller show that the proposed method is capable of maneuverability and/or fuel economy optimization indices while satisfying all the predefined constraints successfully. Based on the parameters, natural frequencies, and dynamic behavior of the system, a set of optimized weighting factors for different engine parameters is also proposed to achieve the optimal and safe operation for the engine at different flight conditions. The paper demonstrates the effects of the prediction length and control horizon; adding new constraints on the computational effort and the controller performance are also discussed in detail to confirm the effectiveness and practicality of the proposed approach in developing a fully automatic optimized real-time controller for gas turbine engines.

Development and Demonstration of a Stability Management System for Gas Turbine Engines

2008 ◽  
Vol 130 (3) ◽  
Author(s):  
D. Christensen ◽  
P. Cantin ◽  
D. Gutz ◽  
P. N. Szucs ◽  
A. R. Wadia ◽  
...  
Keyword(s):  
Real Time ◽  
Gas Turbine ◽  
Management System ◽  
Full Scale ◽  
Turbine Engines ◽  
Gas Turbine Engines ◽  
Engine Test ◽  
Aerodynamic Stability ◽  
The Stability ◽  
Rapid Transients

Rig and engine test processes and in-flight operation and safety for modern gas turbine engines can be greatly improved with the development of accurate on-line measurement to gauge the aerodynamic stability level for fans and compressors. This paper describes the development and application of a robust real-time algorithm for gauging fan/compressor aerodynamic stability level using over-the-rotor dynamic pressure sensors. This real-time scheme computes a correlation measure through signal multiplication and integration. The algorithm uses the existing speed signal from the engine control for cycle synchronization. The algorithm is simple and is implemented on a portable computer to facilitate rapid real-time implementation on different experimental platforms as demonstrated both on a full-scale high-speed compressor rig and on an advanced aircraft engine. In the multistage advanced compressor rig test, the compressor was moved toward stall at constant speed by closing a discharge valve. The stability management system was able to detect an impending stall and trigger opening of the valve so as to avoid compressor surge. In the full-scale engine test, the engine was configured with a one-per-revolution distortion screen and transients were run with a significant amount of fuel enrichment to facilitate stall. Test data from a series of continuous rapid transients run in the engine test showed that in all cases, the stability management system was able to detect an impending stall and manipulated the enrichment part of the fuel schedule to provide stall-free transients.

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