Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334) 2000
DOI: 10.1109/acc.2000.878607
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A case study of physical diagnosis for aircraft engines

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Cited by 5 publications
(3 citation statements)
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“…Control system mainly consists of FADEC, HMS and EHMS. It will enable the engine to deliver power, control the engine, and carry out diagnostic and prognostic (Gomezt June 2000), perform engine maintenance through IVHM functionality and other support activities like cooling, relight etc. Various actors are directly associated with its successful executions.…”
Section: Control System Capabilitiesmentioning
confidence: 99%
“…Control system mainly consists of FADEC, HMS and EHMS. It will enable the engine to deliver power, control the engine, and carry out diagnostic and prognostic (Gomezt June 2000), perform engine maintenance through IVHM functionality and other support activities like cooling, relight etc. Various actors are directly associated with its successful executions.…”
Section: Control System Capabilitiesmentioning
confidence: 99%
“…Of the various methodologies to extract and use the relevant information, the most notable model based techniques are: (a) parity equation [1][2][3]; (b) state estimation [4]; (c) parameter estimation [5,6]; (d) principal component analysis [7,8]; (e) parametric statistical approach [9][10][11][12][13]; (f) neural network approach [14]; and (g) support vector machine [15]. In the model-free case, however, the FDI is usually carried out by performing certain operations on the system variables.…”
Section: Introductionmentioning
confidence: 99%
“…do not appear specifically on it. For example, some authors, like Gomez et al (2000) in [115] or Ganguli et al (2004) in [98], used parametric estimation approaches combined with likelihood tests and least squares, respectively, to identify and isolate several potential failures in gas turbine engines. This approach has been recently overcome by more advanced and powerful techniques in terms of effectiveness, accuracy, robustness, and in economy of computational resources, when dealing with nonlinear models and decoupling the different fault modes.…”
Section: 5-compilatory Studies Analyzing the Available Known Techniquesmentioning
confidence: 99%