Upgrading Engine Test Cells for Improved Troubleshooting and Diagnostics

2002 ◽  
Author(s):  
Michael J. Roemer ◽  
Rolf F. Orsagh ◽  
Gregory J. Kacprzynski ◽  
James Scheid ◽  
Richard Friend ◽  
...  
Keyword(s):  
United States Air Force ◽  
Critical Role ◽  
Test Cell ◽  
Fault Classification ◽  
Engine Test ◽  
Sensor Validation ◽  
Software Modules ◽  
Post Test ◽  
Test Cells ◽  
Diagnostic Software

Upgrading military engine test cells with advanced diagnostic and troubleshooting capabilities will play a critical role in increasing aircraft availability and test cell effectiveness while simultaneously reducing engine operating and maintenance costs. Sophisticated performance and mechanical anomaly detection and fault classification algorithms utilizing thermodynamic, statistical, and empirical engine models are now being implemented as part of a United States Air Force Advanced Test Cell Upgrade Initiative. Under this program, a comprehensive set of real-time and post-test diagnostic software modules, including sensor validation algorithms, performance fault classification techniques and vibration feature analysis are being developed. An automated troubleshooting guide is also being implemented to streamline the troubleshooting process for both inexperienced and experienced technicians. This artificial intelligence based tool enhances the conventional troubleshooting tree architecture by incorporating probability of occurrence statistics to optimize the troubleshooting path. This paper describes the development and implementation of the F404 engine test cell upgrade at the Jacksonville Naval Air Station.

Advanced Test Cell Diagnostics for Gas Turbine Engines (USAF Automated Jet Engine Test Strategy – AJETS)

2001 ◽  
Author(s):  
Michael J. Roemer ◽  
Gregory J. Kacprzynski ◽  
Michael Schoeller ◽  
Ron Howe ◽  
Richard Friend
Keyword(s):  
Anomaly Detection ◽  
Real Time ◽  
Gas Turbine ◽  
Test Cell ◽  
Engine Test ◽  
Jet Engine ◽  
Test Strategy ◽  
Post Test ◽  
Test Cells ◽  
And Performance

Improved test cell diagnostics capable of detecting and classifying engine mechanical and performance faults as well as instrumentation problems is critical to reducing engine operating and maintenance costs while optimizing test cell effectiveness. Proven anomaly detection and fault classification techniques utilizing engine Gas Path Analysis (GPA) and statistical/empirical models of structural and performance related engine areas can now be implemented for real-time and post-test diagnostic assessments. Integration and implementation of these proven technologies into existing USAF engine test cells presents a great opportunity to significantly improve existing engine test cell capabilities to better meet today’s challenges. A suite of advanced diagnostic and troubleshooting tools have recently been developed and implemented for gas turbine engine test cells as part of the Automated Jet Engine Test Strategy (AJETS) program. AJETS is an innovative USAF program for improving existing engine test cells by providing more efficient and advanced monitoring, diagnostic and troubleshooting capabilities. This paper describes the basic design features of the AJETS system; including the associated data network, sensor validation and anomaly detection/diagnostic software that was implemented in both a real-time and post-test analysis mode. These advanced design features of AJETS are currently being evaluated and advanced utilizing data from TF39 test cell installations at Travis AFB and Dover AFB.

Post test examination of AMTEC electrodes from sodium exposure test cells

2000 ◽  
Author(s):  
Michael Schuller ◽  
Brad Fiebig ◽  
Patricia Hudson ◽  
Alicia Williams
Keyword(s):  
Exposure Test ◽  
Post Test ◽  
Test Cells

Acoustical Evaluation of Engine Test Cell Facility at the 35th Maintenance Squadron (MXS/MXMPT), Misawa AB, Japan

2013 ◽  
Author(s):  
Jerimiah M. Jackson ◽  
Gene F. Moll ◽  
Jon E. Black ◽  
Eric J. Sawvel ◽  
Andrew T. Wells
Keyword(s):  
Test Cell ◽  
Engine Test

Comparison and Synthesis of Performance and Aerodynamic Modeling of a Pass-Off Turbofan Engine Test Cell

2015 ◽  
Author(s):  
Martin Marx ◽  
Michael Kotulla ◽  
André Kando ◽  
Stephan Staudacher
Keyword(s):  
Research Effort ◽  
Engine Performance ◽  
Cell System ◽  
Performance Model ◽  
Test Cell ◽  
Test Facility ◽  
Engine Test ◽  
Combined System ◽  
Installation Effects ◽  
Engine Testing

To ensure the quality standards in engine testing, a growing research effort is put into the modeling of full engine test cell systems. A detailed understanding of the performance of the combined system, engine and test cell, is necessary e.g. to assess test cell modifications or to identify the influence of test cell installation effects on engine performance. This study aims to give solutions on how such a combined engine and test cell system can be effectively modeled and validated in the light of maximized test cell observability with minimum instrumentation and computational requirements. An aero-thermodynamic performance model and a CFD model are created for the Fan-Engine Pass-Off Test Facility at MTU Maintenance Berlin-Brandenburg GmbH, representing a W-shape configuration, indoor Fan-Engine test cell. Both models are adjusted and validated against each other and against test cell instrumentation. A fast-computing performance model is delivering global parameters, whereas a highly-detailed aerodynamic simulation is established for modeling component characteristics. A multi-disciplinary synthesis of both approaches can be used to optimize each of the specific models by calibration, optimized boundary conditions etc. This will result in optimized models, which, in combination, can be used to assess the respective design and operational requirements.

Discrete tones in subsonic jet engine test cells

2018 ◽  
Vol 101 ◽  
pp. 49-60
Author(s):  
G. Desmarais ◽  
J. Rocha
Keyword(s):  
Engine Test ◽  
Jet Engine ◽  
Test Cells ◽  
Subsonic Jet
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