A Wavelet-Based Approach to FRF Identification From Incomplete Data
نویسندگان
چکیده
Frequency Response Function (FRF) estimation from measured data is an essential step in the design, control, and analysis of complex dynamical systems, including thermal motion systems. Especially for systems that require long measurement time, missing samples record, e.g., due to interruptions, often occur. The aim this paper achieve accurate identification non-parametric FRF models periodically excited noisy output measurements with samples. An framework established exploits a wavelet-based transform separate effect time domain system characteristics frequency domain. encompasses both time-invariant time-varying estimator, which provide different mechanisms address Experimental results thermo-dynamical confirm estimators enable identification.
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ژورنال
عنوان ژورنال: IEEE Transactions on Instrumentation and Measurement
سال: 2023
ISSN: ['1557-9662', '0018-9456']
DOI: https://doi.org/10.1109/tim.2023.3260271