## 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.

### Additional Services

Author: Michael Feldmann, Susanne Seibold urn:nbn:de:hbz:386-kluedo-7095 Berichte des Fraunhofer-Instituts für Techno- und Wirtschaftsmathematik (ITWM Report) (2) Preprint English 1998 1998 Fraunhofer-Institut für Techno- und Wirtschaftsmathematik 2000/04/03 Hilbert transform ; Kalman filtering ; damage diagnosis ; non-linear dynamics Fraunhofer (ITWM) 5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik Standard gemäß KLUEDO-Leitlinien vor dem 27.05.2011

$Rev: 13581$