This paper discusses the parametric identi"cation of multiple-input}multiple-output (MIMO) rotor-bearing systems in the frequency domain on the basis of the maximum likelihood estimator (MLE). An identi"cation procedure, considering noise on both inputs and outputs (errors-in variables model), is de
IDENTIFICATION OF ROTOR-BEARING SYSTEMS IN THE FREQUENCY DOMAIN PART I: ESTIMATION OF FREQUENCY RESPONSE FUNCTIONS
โ Scribed by FRANK PEETERS; RIK PINTELON; JOHAN SCHOUKENS; YVES ROLAIN; ENRIQUE S. GUTIERREZ; PATRICK GUILLAUME
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 434 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0888-3270
No coin nor oath required. For personal study only.
โฆ Synopsis
This paper discusses the non-parametric identi"cation if MIMO rotor-bearing systems in the frequency domain for real as well as for complex modal testing. The FRFs are estimated on the basis of the maximum likelihood estimator, considering noise on both inputs and outputs (error-in-variables model). It is demonstrated that multisine excitations with random phases yield improved FRF measurements as compared to random excitations. Moreover, quantitative uncertainties (covariances of the FRFs) are obtained allowing us to quantify the quality of the measurements. The experiments are performed on a rotor test rig and the evaluation is made for both real and complex modal analysis.
๐ SIMILAR VOLUMES