Damage Diagnosis of Rotors: Application of Hilbert Transform and Multi-Hypothesis Testing

  • In this paper, a combined approach to damage diagnosis of rotors is proposed. The intention is to employ signal-based as well as model-based procedures for an improved detection of size and location of the damage. In a first step, Hilbert transform signal processing techniques allow for a computation of the signal envelope and the instantaneous frequency, so that various types of non-linearities due to a damage may be identified and classified based on measured response data. In a second step, a multi-hypothesis bank of Kalman Filters is employed for the detection of the size and location of the damage based on the information of the type of damage provided by the results of the Hilbert transform.

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Metadaten
Author:Michael Feldmann, Susanne Seibold
URN (permanent link):urn:nbn:de:hbz:386-kluedo-7095
Serie (Series number):Berichte des Fraunhofer-Instituts für Techno- und Wirtschaftsmathematik (ITWM Report) (2)
Document Type:Preprint
Language of publication:English
Year of Completion:1998
Year of Publication:1998
Publishing Institute:Fraunhofer-Institut für Techno- und Wirtschaftsmathematik
Tag:Hilbert transform ; Kalman filtering ; damage diagnosis ; non-linear dynamics
Faculties / Organisational entities:Fraunhofer (ITWM)
DDC-Cassification:510 Mathematik

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