XMAN - A tool for automated jet engine diagnostics

Jellison, Timothy G.; Frenster, Jeff; Pratt, N. S.; Dehoff, R. L.

doi:10.2514/6.1987-1931

Cited by 5 publications

(2 citation statements)

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“…The most popular type of expert systems used in gas turbine fault diagnostics is the knowledge and rule based expert system. Typical examples of such a type of expert system are ENGDOC [103], TEXMAS [104] for the Lycoming T53 engine, HELIX [105,106] for a twinengine gas turbine helicopter engine, XMAN [107] for TF-34 engine, TIGER [108], IFDIS for the TF30 engine [109,110], SHERLOCK for helicopter engines [100], and so on. More recently, this type of method has been further developed and applied to gas turbine diagnostics by Vivian and Singh [111], Torella [72], Charchalis and Korczewski [112], DePold and Gass [10], Diao and Passino [113], Forsyth and Delaney [114], and Pettigrew [115].…”

Section: Expert Systemsmentioning

confidence: 99%

Performance-analysis-based gas turbine diagnostics: A review

2002

Proceedings of the Institution of Mechanical Engineers, Part A:

167

126

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Gas turbine diagnostics has a history almost as long as gas turbine development itself. Early engine fault diagnosis was carried out based on manufacturer information supplied in a technical manual combined with maintenance experience. In the late 1960s, when L. A. Urban introduced gas path analysis, gas turbine diagnostics made a big breakthrough. Since then different methods have been developed and used in both aerospace and industrial applications. To date, a substantial number of papers have been published in this area. This paper intends to give a comprehensive review of performance-analysis-based methods available thus far for gas turbine fault diagnosis in the open literature.

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Section: Expert Systemsmentioning

confidence: 99%

Performance-analysis-based gas turbine diagnostics: A review

2002

Proceedings of the Institution of Mechanical Engineers, Part A:

167

126

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“…The reported military applications are ground based tools that assist maintenance personnel in enhanced troubleshooting and component fault isolation based on the evaluation of symptoms and/or acquired data. Some of the current prototypes include: Jet Engine Troubleshooting Expert (JET-X) [16,17]; An Expert Maintenance Tool (XMAN) [18,19]; Helicopter Expert (HELIX) [20]; and Turbine Engine Expert Maintenance Advisor (TEXMAS) [21]. JET-X will be described to indicate the type of features that future expert system based health monitoring systems might employ.…”

Section: Current Jet Engine Expert Systems Health Monitoring Workmentioning

confidence: 99%

The Role for Expert Systems in Commercial Gas Turbine Engine Monitoring

Doel¹

1990

Volume 5: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation;

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During the past few years, condition monitoring of gas turbine engines has blossomed into an economically viable activity for some of the larger commercial airlines. These gains have been spurred to a significant degree by the development of sophisticated software algorithms for the interpretation of the limited available sensors. Software packages such as GE’s GEM and Rolls Royce’s COMPASS are being employed to realize many of these gains. Neither of these packages makes use of artificial intelligence despite the recent flurry of activity in this area. This paper reviews the recent commercial condition monitoring progress and suggests areas where AI and other advanced techniques could produce substantive gains.

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Jet engine diagnostics and trending: roadmap for the future

Jellison

Suehs²,

Hoff³

Proceedings of the IEEE 1988 National Aerospace and Electronics Conference

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XMAN - A tool for automated jet engine diagnostics

Cited by 5 publications

References 0 publications

Performance-analysis-based gas turbine diagnostics: A review

Performance-analysis-based gas turbine diagnostics: A review

The Role for Expert Systems in Commercial Gas Turbine Engine Monitoring

Jet engine diagnostics and trending: roadmap for the future

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