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Russian Journal of Nondestructive Testing
Erschienen in: Russian Journal of Nondestructive Testing 12/2020

01.12.2020 | ACOUSTIC METHODS

Steel Plate Defect Classification Based on the Fractional Sliding Model Observer

verfasst von: Yong Deng, Di Zhang, Ting Chen, Xusong Hu, Yu Nie

Erschienen in: Russian Journal of Nondestructive Testing | Ausgabe 12/2020

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Abstract

Aiming at the problem of steel plate defect classification, a new approach based on the fractional sliding model observer is proposed. Firstly, the sliding model observer is used to construct the defect detecting model of the steel plate. Then, the sliding model observer parameters are estimated using the detected data sequences and the fractional transform method which is inserted into the constructed model to transform the data sequences. By analyzing the constructed fractional sliding surface data, the digital defect features are extracted, which are used to implement the classification of steel plate defects. Finally, experiments demonstrate availability of the proposed method.
Vorheriger Artikel Ultrasonic Inspection of the Setting Mechanism of Glass Ionomer Cement
Nächster Artikel Acoustic Emission Characteristics of Bond-Slip for BFRP Concrete at Different Loading Rates

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Metadaten
Titel
Steel Plate Defect Classification Based on the Fractional Sliding Model Observer
verfasst von
Yong Deng
Di Zhang
Ting Chen
Xusong Hu
Yu Nie
Publikationsdatum
01.12.2020
Verlag
Pleiades Publishing
Erschienen in
Russian Journal of Nondestructive Testing / Ausgabe 12/2020
Print ISSN: 1061-8309
Elektronische ISSN: 1608-3385
DOI
https://doi.org/10.1134/S1061830921010058

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