利用滤波巴克豪森噪声信号识别碳钢件塑性变形

Q4 Engineering

Vibrations in Physical Systems Pub Date : 2020-01-01 DOI:10.21008/J.0860-6897.2020.1.06

J. Dybała, Krzysztof Nadulicz

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引用次数: 0

摘要

本文提出了一种处理巴克豪森噪声信号以检测和识别碳钢塑性变形的新方法。研究了一种新的巴克豪森效应信号自动滤波方法。除了对巴克豪森效应信号的经典测量假设其均方根值外，分析中还使用了信号波形因子。发展的方法来处理巴克豪森噪声信号，使它有可能获得更有用的诊断数据比那些从原始信号。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Identification of Plastic Deformations in Carbon Steel Elements Using the Filtered Barkhausen Noise Signal

The paper presents new approach to processing the Barkhausen Noise signal in order to detect and identify plastic deformations in carbon steel. A new automatic method of Barkhausen effect signal filtration was investigated. Apart from a classical measurement of Barkhausen effect signal, for which the RMS value is assumed, the signal waveform factor was also used in analyzes. The developed approach to processing the Barkhausen Noise signal has made it possible to obtain more useful diagnostic data than those obtained from the raw signal.

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来源期刊

Vibrations in Physical Systems Engineering-Mechanics of Materials

CiteScore

0.70

自引率

0.00%

发文量