Parameter Identification for the Dynamic Load Modeling Based on Denoising Method of the Measurement Data

Abstract:

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Different denoising methods are used in parameter identification for the dynamic load modeling and the specific approach is proposed. The effects of different denoising methods including mean filtering, medial filtering and wavelet denoising are discussed. Mean filtering method is not helpful to contain the step changes of the measurement voltage, thus is unsuitable for the parameter identification process. Medial filtering method and wavelet denoising methods are suitable for the parameter identification in dynamic load modeling. Furthermore, experiment results based on the measurement data show that the wavelet denoising method is more efficient in some aspects such as the accuracy of identification and SSE.

Info:

Periodical:

Advanced Materials Research (Volumes 217-218)

Edited by:

Zhou Mark

Pages:

907-910

DOI:

10.4028/www.scientific.net/AMR.217-218.907

Citation:

L. D. Wang et al., "Parameter Identification for the Dynamic Load Modeling Based on Denoising Method of the Measurement Data", Advanced Materials Research, Vols. 217-218, pp. 907-910, 2011

Online since:

March 2011

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Price:

$35.00

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