A. Duyar and W. C. Merrill, "Fault diagnosis for the space shuttle main engine," J. Guidance, Contr., Dyn., vol. 15, no. 2, pp. 384--389, 1992.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....of fault diagnosis and fault accommodation for jet engines has become a very active research topic for both theoretical and practical reasons. In [3] 5] the authors studied sensor failure detection for jet engines using a Kalman filter with a generalized likelihood ratio testing based scheme. In [6], 7] the authors derived linearized models of jet engine systems via the canonical form parameterization identification method and applied a parameter estimation approach in fault detection and isolation for the space shuttle main engine. In [8] 10] the authors studied fault detection of jet ....

A. Duyar and W. C. Merrill, "Fault diagnosis for the space shuttle main engine," J. Guidance, Contr., Dyn., vol. 15, no. 2, pp. 384--389, 1992.

....percentage was 98.45 . 2. 4 Interim conclusions The results reported here indicate the feasibility of applying neural nets to the monitoring of combustion condition, and as such, compliment the results of other neural net applications to fault diagnosis and condition monitoring (eg Boek, 1991; Duyar Merrill, 1992; Lihovd Ramussen, 1993; Macintyre et al. 1993) Duyar and Merrill (1992) report a system, based on simulated data, which uses two levels of neural nets for fault diagnosis of the Space shuttle main engine. A classifier level classifies faulty input data as two types of fault, and a second ....

.... here indicate the feasibility of applying neural nets to the monitoring of combustion condition, and as such, compliment the results of other neural net applications to fault diagnosis and condition monitoring (eg Boek, 1991; Duyar Merrill, 1992; Lihovd Ramussen, 1993; Macintyre et al. 1993) Duyar and Merrill (1992) report a system, based on simulated data, which uses two levels of neural nets for fault diagnosis of the Space shuttle main engine. A classifier level classifies faulty input data as two types of fault, and a second severity level classifies the severity of the fault. Boek (1991) reports ....

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Duyar, A. & Merrill, W. (1992) "Fault diagnosis for the space shuttle main engine." Journal of Guidance, Control and Dynamics, 15 (2) 384-9.

....safety critical industry, in which they are employed for continuous on line monitoring of individual components such as fans, engine combustion quality, or cooling systems. And in fact there has been an increasing amount of work using neural nets for tasks such as fault diagnosis (e.g. Boek, 1991; Duyar Merrill, 1992), condition monitoring (e.g. MacIntyre et al., 1993) and more recently, fault detection (e.g Marko et al., 1996; Worden, 1997) If neural nets are to employed in safety critical, or safety related areas, it would make sense to adopt some of the standard procedures for reducing the number of ....

Duyar, A. & Merrill, W. (1992) "Fault diagnosis for the space shuttle main engine." Journal of Guidance, Control and Dynamics, 15 (2) 384-9.

....fault diagnosis and fault accommodation for jet engines has become a very active research topic for both theoretical and practical reasons. In [3, 4, 5] the authors studied sensor failure detection for jet engines using a Kalman filter with a Generalized Likelihood Ratio Testing based scheme. In [6, 7] the authors derived linearized models of jet engine systems via the ff canonical form parameterization identification method and applied a parameter estimation approach in fault detection and isolation for the space shuttle main engine. In [8, 9, 10] the authors studied fault detection of jet ....

A. Duyar and W. C. Merrill, "Fault diagnosis for the space shuttle main engine," Journal of Guidance, Control and Dynamics, vol. 15, no. 2, pp. 384--389, 1992.

....of the disparity (typically called a residual) between the measured sensor values and the values predicted by the model embedded within the filter. The residual is used in the filter to update the estimate and is an excellent indicator of failure. A similar approach to ours has been used by [4] [5], in the context of space shuttle engine diagnostics and automated vehicle guidance systems. Previous work using MMAE applied to the case of mechanical failures (such as flat tires) on board mobile robots and independent sensor failures is due to Roumeliotis et al.[12] 13] The work done lacks ....

A. Duyar and W. Merrill. Fault diagnosis for the space shuttle main engine. Journal of Guidance, Control and Dynamics, 15:384--389, March-April 1992.

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