Engine Performance Monitoring and Troubleshooting Techniques for the CF-18 Aircraft

Cue, R. W.; Muir, D. E.

doi:10.1115/1.2906519

Cited by 15 publications

(7 citation statements)

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“…A detailed description of transient analysis as it is applied to the GE F-404 engine is described by Cue and Muir (1990) and Muir et al (1988). The GE 404 is a 2-spool afterburning turbofan used on the F-18 Hornet with a maximum thrust rating of 16,000 lbs.…”

Section: A Review Work Done In Transient Analysismentioning

confidence: 99%

Condition Monitoring and Diagnostic Aspects of Gas Turbine Transient Response

Meher-Homji¹,

Bhargava²

1992

Volume 4: Heat Transfer; Electric Power; Industrial and Cogeneration

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Most engine health monitoring systems used for land based systems are based on steady state operation. Diagnostic analysis has traditionally been conducted under steady state conditions with on-line systems tending to concentrate on map based performance diagnostics using pattern analysis, fault matrices or expert systems. Transient analysis is a relatively a new technique and is being applied to some aeroengines. There is significant diagnostic content in turbine startup and shutdown data and in data obtained during power or speed changes. This data can be captured if an automatic on-line system is employed. This paper provides an overview of the use of both performance and mechanical transient analysis as a means to detect gas turbine problems. The paper covers the need for transient analysis and covers transient analysis techniques. Examples and a discussion of how transient analysis can be integrated within an existing on-line monitoring system is made.

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Section: A Review Work Done In Transient Analysismentioning

confidence: 99%

Condition Monitoring and Diagnostic Aspects of Gas Turbine Transient Response

Meher-Homji¹,

Bhargava²

1992

Volume 4: Heat Transfer; Electric Power; Industrial and Cogeneration

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“…These operational data have been systematically archived by the CF and are available for diagnostic/prognostic purposes. In addition, a comprehensive database describing all maintenance actions performed by the personnel on the CF-18 is also available, GasTOPS (Ottawa, Ontario Canada), a control system and condition assessment company, and the Canadian Forces exploited some of these data to develop an advanced diagnostic/troubleshooting and performance monitoring tool [1], In this paper, the potential usefulness of the available operational and maintenance CF18 data for prognostics is investigated.…”

Section: Introductionmentioning

confidence: 99%

Developing Data Mining-Based Prognostic Models for CF-18 Aircraft

Zaluski

Létourneau

Bird

et al. 2011

Journal of Engineering for Gas Turbines and Power

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The aircraft is a complex system for which a variety of data are systematically being recorded: flight data from sensors, built-in test equipment data, and maintenance data. Without proper analytical and statistical tools, these data resources are of limited use to the operating organization. Focusing on data mining-based modeling, this paper inve,stigates the use of readily available CF-18 data to support the development of prognostics and health management sy.Uems, A generic data mining methodology has been developed to build prognostic models from operational and maintenance data. This paper introduces the methodology and elaborates on challenges specific to the use of CF-18 data from the Canadian Force,'!. A number of key data mining tasks are examined including data gathering, information fusion, data preprocessing, model building, and model evaluation. The solutions developed to addre,ss these tasks are described. A software tool developed to automate the model development process is also presented. Finally, this paper discusses preliminary results on the creation of models to predict F404 no. 4 bearing and main fuel control failures on the CF-18.

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“…The first contributions, e.g., Refs. [7,8], intended to derive fault signatures and to detect gross modifications in the dynamic characteristics of the engine. Luppold et al [9] then applied a Kaiman filter to assess the changes in module performance from transient data.…”

Section: Introductionmentioning

confidence: 99%

A Study on Engine Health Monitoring in the Frequency Domain

Borguet

Henriksson

McKelvey

et al. 2011

Journal of Engineering for Gas Turbines and Power

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A Study on Engine Health Monitoring in the Frequency DomainMost of the techniques developed to date for module performance analysis rely on steadystate measurements from a single operating point to evaluate the level of deterioration of an engine. One of the major difficulties associated with this estimation problem comes from its underdetermined nature. It results from the fact that the number of health parameters e.Kceeds the number of available sensors. Among the panel of remedies to this issue, a few authors have inve.itigated the potential of using data collected during a transient operation of the engine. A major outcome of these studies is an improvement in the assessed health condition. The present study proposes a framework that formalizes this observation for a given class of input signals. The analysis is performed in the frequency domain, following the lines of .n'stem identification theory. More specifically, the mean-squared estimation error is shown to drastically decrease when using transient input signals. This study is conducted with an engine model representative of a commercial turbofan. Statement of the ProblemThe scope of this section is to present the theoretical foundation of the methodology developed to show the benefit of using transient signals for diagnosis. First, the model relating the observa- Journal of Engineering for Gas Turbines and Power

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Engine Performance Monitoring and Troubleshooting Techniques for the CF-18 Aircraft

Cited by 15 publications

References 0 publications

Condition Monitoring and Diagnostic Aspects of Gas Turbine Transient Response

Condition Monitoring and Diagnostic Aspects of Gas Turbine Transient Response

Developing Data Mining-Based Prognostic Models for CF-18 Aircraft

A Study on Engine Health Monitoring in the Frequency Domain

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