Robust Reliability of Diagnostic Multi-Hypothesis Algorithms: Application to Rotating Machinery

Abstract

Damage diagnosis based on a bank of Kalman filters, each one conditioned on a specific hypothesized system condition, is a well recognized and powerful diagnostic tool. This multi-hypothesis approach can be applied to a wide range of damage conditions. In this paper, we will focus on the diagnosis of cracks in rotating machinery. The question we address is… (More)

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Cite this paper

@inproceedings{Seibold1998RobustRO, title={Robust Reliability of Diagnostic Multi-Hypothesis Algorithms: Application to Rotating Machinery}, author={Susanne Seibold}, year={1998} }