Decision Theoretic Methods Applied to Fault Detection using Features from State Models

Eagle, Paul J.; Tabrizi, Lili H.

doi:10.23919/acc.1989.4790559

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Preconditioning Measurement Data2

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1990

1992

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Cited by 3 publications

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“…It has been shown to be effective in improving the quality of measurement signatures in a variety of manufacturing processes [20,21]. The method uses an assumption that a timevarying measurement has dynamics that are describable and applicable to a linear Kalman filter.…”

Section: Preconditioning Measurement Datamentioning

confidence: 99%

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Aircraft Trajectory Tracking and Prediction

Cattani¹,

Eagle²,

Lin³

et al. 1992

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Section: Preconditioning Measurement Datamentioning

confidence: 99%

“…The resulting regression model is differentiated n times. The resulting differential equation is converted into a stat, model and used to implement a linear Kalman filter for that measurement [17,18,19,20,21]. A flowchart illustrating the regression modelling process is shown in Figure 1.…”

Section: Preconditioning Measurement Datamentioning

confidence: 99%