Titlebook: Bond Graph Modelling for Control, Fault Diagnosis and Failure Prognosis; Wolfgang Borutzky Book 2021 Springer Nature Switzerland AG 2021 B

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Fault Diagnosis,tion and isolation. In that context, bond graph modelling of parameter uncertainties, accounting for measurement uncertainties, and representing sensor and actuator faults in a bond graph are addressed. Furthermore, the chapter presents a graphical approach to sensor placement and fault isolation ba

Misnomer

Failure Prognostic,es not need to know a mathematical model of the damage process nor assumes a priori that the degradation behaviour follows a certain mathematical function for which the coefficients are to be fitted. Instead, discrete numerical values of the unknown degradation model at sampling points are generated

Affluence

Fault Tolerant Control,ty system is validated by two offline simulation case studies. The chapter concludes by briefly considering the principle of an overwhelming controller as an example of a controller suited for passive FTC.

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Software Support,ous control tasks. In the proposed approach to a combined bond graph-based fault diagnosis and online failure prognosis, first, measured signals into a diagnostic bond graph can be smoothed and differentiated if needed by functions such as the Savitzky–Golay filter available in common mathematical s

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Applications, The deliberately inserted parameter degradation is well reconstructed. A RUL is computed by intersection of the degradation trend with a predefined failure alarm threshold. A value for the latter one has been chosen on the basis of physical assumptions. Bond graph modelling of the considered system

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Book 2021tate estimation by means of filters or time series forecasting.?.This book has been written for students specializing in the overlap of engineering and computer science as well as for researchers, and for engineers in industry working with modelling, simulation, control, fault diagnosis, and failure

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Outspoken

Carbon-Monoxide

https://doi.org/10.1007/978-3-030-54430-0es not need to know a mathematical model of the damage process nor assumes a priori that the degradation behaviour follows a certain mathematical function for which the coefficients are to be fitted. Instead, discrete numerical values of the unknown degradation model at sampling points are generated

Recessive

https://doi.org/10.1007/978-3-030-54430-0ty system is validated by two offline simulation case studies. The chapter concludes by briefly considering the principle of an overwhelming controller as an example of a controller suited for passive FTC.