scholarly journals Aircraft Engine Gas Path Diagnostic Methods: Public Benchmarking Results

Author(s):  
Donald L. Simon ◽  
Sébastien Borguet ◽  
Olivier Léonard ◽  
Xiaodong (Frank) Zhang

Recent technology reviews have identified the need for objective assessments of aircraft engine health management (EHM) technologies. To help address this issue, a gas path diagnostic benchmark problem has been created and made publicly available. This software tool, referred to as the Propulsion Diagnostic Method Evaluation Strategy (ProDiMES), has been constructed based on feedback provided by the aircraft EHM community. It provides a standard benchmark problem enabling users to develop, evaluate, and compare diagnostic methods. This paper will present an overview of ProDiMES along with a description of four gas path diagnostic methods developed and applied to the problem. These methods, which include analytical and empirical diagnostic techniques, will be described and associated blind-test-case metric results will be presented and compared. Lessons learned along with recommendations for improving the public benchmarking processes will also be presented and discussed.

Author(s):  
Donald L. Simon ◽  
Sébastien Borguet ◽  
Olivier Léonard ◽  
Xiaodong (Frank) Zhang

Recent technology reviews have identified the need for objective assessments of aircraft engine health management (EHM) technologies. To help address this issue, a gas path diagnostic benchmark problem has been created and made publicly available. This software tool, referred to as the Propulsion Diagnostic Method Evaluation Strategy (ProDiMES), has been constructed based on feedback provided by the aircraft EHM community. It provides a standard benchmark problem enabling users to develop, evaluate and compare diagnostic methods. This paper will present an overview of ProDiMES along with a description of four gas path diagnostic methods developed and applied to the problem. These methods, which include analytical and empirical diagnostic techniques, will be described and associated blind-test-case metric results will be presented and compared. Lessons learned along with recommendations for improving the public benchmarking processes will also be presented and discussed.


2018 ◽  
Vol 140 (12) ◽  
Author(s):  
Anastasios O. Koskoletos ◽  
Nikolaos Aretakis ◽  
Alexios Alexiou ◽  
Christoforos Romesis ◽  
Konstantinos Mathioudakis

Propulsion diagnostic method evaluation strategy (ProDiMES) offers an aircraft engine diagnostic benchmark problem where the performance of candidate diagnostic methods is evaluated while a fair comparison can be established. In the present paper, the performance evaluation of a number of gas turbine diagnostic methods using the ProDiMES software is presented. All diagnostic methods presented here were developed at the Laboratory of Thermal Turbomachinery of the National Technical University of Athens (LTT/NTUA). Component, sensor, and actuator fault scenarios that occur in a fleet of deteriorated twin-spool turbofan engines are considered. The performance of each diagnostic method is presented through the evaluation metrics introduced in the ProDiMES software. Remarks about each methods performance as well as the detectability and classification rates of each fault scenario are made.


Aerospace ◽  
2021 ◽  
Vol 8 (8) ◽  
pp. 232
Author(s):  
Juan Luis Pérez-Ruiz ◽  
Yu Tang ◽  
Igor Loboda

Considering the importance of continually improving the algorithms in aircraft engine diagnostic systems, the present paper proposes and benchmarks a gas-path monitoring and diagnostics framework through the Propulsion Diagnostic Methodology Evaluation Strategy (ProDiMES) software developed by NASA. The algorithm uses fleet-average and individual engine baseline models to compute feature vectors that form a fault classification with healthy and faulty engine classes. Using this classification, a hybrid fault-recognition technique based on regularized extreme learning machines and sparse representation classification was trained and validated to perform both fault detection and fault identification as a common process. The performance of the system was analyzed along with the results of other diagnostic frameworks through four stages of comparison based on different conditions, such as operating regimes, testing data, and metrics (detection, classification, and detection latency). The first three stages were devoted to the independent algorithm development and self-evaluation, while the final stage was related to a blind test case evaluated by NASA. The comparative analysis at all stages shows that the proposed algorithm outperforms all other diagnostic solutions published so far. Considering the advantages and the results obtained, the framework is a promising tool for aircraft engine monitoring and diagnostic systems.


Author(s):  
Orestis A. Koskoletos ◽  
Nikolaos Aretakis ◽  
Alexios Alexiou ◽  
Christoforos Romesis ◽  
Konstantinos Mathioudakis

Propulsion Diagnostic Method Evaluation Strategy (ProDiMES) offers an aircraft engine diagnostic benchmark problem where the performance of candidate diagnostic methods is evaluated while a fair comparison can be established. In the present paper, the performance evaluation of a number of gas turbine diagnostic methods using the ProDiMES software is presented. All diagnostic methods presented here were developed at the Laboratory of Thermal Turbomachinery of the National Technical University of Athens (LTT/NTUA). Component, sensor and actuator fault scenarios, that occur in a fleet of deteriorated twin-spool turbofan engines are considered. The performance of each diagnostic method is presented through the evaluation metrics introduced in the ProDiMES software. Remarks about each methods performance as well as the detectability and classification rates of each fault scenario are made.


Author(s):  
Donald L. Simon ◽  
Jeff Bird ◽  
Craig Davison ◽  
Al Volponi ◽  
R. Eugene Iverson

Recent technology reviews have identified the need for objective assessments of engine health management (EHM) technology. The need is two-fold: technology developers require relevant data and problems to design and validate new algorithms and techniques while engine system integrators and operators need practical tools to direct development and then evaluate the effectiveness of proposed solutions. This paper presents a publicly available gas path diagnostic benchmark problem that has been developed by the Propulsion and Power Systems Panel of The Technical Cooperation Program (TTCP) to help address these needs. The problem is coded in Matlab™ and coupled with a non-linear turbofan engine simulation to produce “snap-shot” measurements, with relevant noise levels, as if collected from a fleet of engines over their lifetime of use. Each engine within the fleet will experience unique operating and deterioration profiles, and may encounter randomly occurring relevant gas path faults including sensor, actuator and component faults. The challenge to the EHM community is to develop gas path diagnostic algorithms to reliably perform fault detection and isolation. An example solution to the benchmark problem is provided along with associated evaluation metrics. A plan is presented to disseminate this benchmark problem to the engine health management technical community and invite technology solutions.


2020 ◽  
Vol 148 ◽  
Author(s):  
B. Holden ◽  
A. Quinney ◽  
S. Padfield ◽  
W. Morton ◽  
S. Coles ◽  
...  

Abstract We report key learning from the public health management of the first two confirmed cases of COVID-19 identified in the UK. The first case imported, and the second associated with probable person-to-person transmission within the UK. Contact tracing was complex and fast-moving. Potential exposures for both cases were reviewed, and 52 contacts were identified. No further confirmed COVID-19 cases have been linked epidemiologically to these two cases. As steps are made to enhance contact tracing across the UK, the lessons learned from earlier contact tracing during the country's containment phase are particularly important and timely.


2014 ◽  
Vol 7 (2) ◽  
pp. 197-211
Author(s):  
James Crossley

Using the 400th anniversary of the King James Bible as a test case, this article illustrates some of the important ways in which the Bible is understood and consumed and how it has continued to survive in an age of neoliberalism and postmodernity. It is clear that instant recognition of the Bible-as-artefact, multiple repackaging and pithy biblical phrases, combined with a popular nationalism, provide distinctive strands of this understanding and survival. It is also clear that the KJV is seen as a key part of a proud English cultural heritage and tied in with traditions of democracy and tolerance, despite having next to nothing to do with either. Anything potentially problematic for Western liberal discourse (e.g. calling outsiders “dogs,” smashing babies heads against rocks, Hades-fire for the rich, killing heretics, using the Bible to convert and colonize, etc.) is effectively removed, or even encouraged to be removed, from such discussions of the KJV and the Bible in the public arena. In other words, this is a decaffeinated Bible that has been colonized by, and has adapted to, Western liberal capitalism.


2020 ◽  
Vol 23 (5) ◽  
pp. 585-600
Author(s):  
V.A. Timchenko

Subject. This article deals with the issues of forensic diagnostics, which is an effective means of detecting, preventing and suppressing staff fraud. Objectives. The article aims to present an original approach to the development of methods of forensic diagnosis of staff fraud based on the modeling method. It is also intended to identify a structure of staff fraud patterns and justify the need to classify the staff fraud methods. Methods. For the study, I used the methods of comparative analysis, systematization, induction, and deduction. Results. The article defines approaches to the formation of diagnostic methods of staff fraud and presents typical inconsistencies that arise in economic information under the influence of fraudulent actions of staff. It describes some diagnostic techniques that can detect staff fraud elements that occur in certain ways of criminal activity. Conclusions and Relevance. The proposed original approach helps develop standard and specific methods for diagnosing staff fraud on a scientific basis. The provisions outlined in the article can serve as a basis for scholarly discussion, contribute to the effectiveness of research on counter-fraud in the field of personnel fraud, and can be applied to the practical activities of structural units and individuals whose task is to combat staff fraud in commercial organizations.


2021 ◽  
pp. 026732312110283
Author(s):  
Judith Simon ◽  
Gernot Rieder

Ever since the outbreak of the COVID-19 pandemic, questions of whom or what to trust have become paramount. This article examines the public debates surrounding the initial development of the German Corona-Warn-App in 2020 as a case study to analyse such questions at the intersection of trust and trustworthiness in technology development, design and oversight. Providing some insights into the nature and dynamics of trust and trustworthiness, we argue that (a) trust is only desirable and justified if placed well, that is, if directed at those being trustworthy; that (b) trust and trustworthiness come in degrees and have both epistemic and moral components; and that (c) such a normatively demanding understanding of trust excludes technologies as proper objects of trust and requires that trust is directed at socio-technical assemblages consisting of both humans and artefacts. We conclude with some lessons learned from our case study, highlighting the epistemic and moral demands for trustworthy technology development as well as for public debates about such technologies, which ultimately requires attributing epistemic and moral duties to all actors involved.


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