漏磁
泄漏(经济)
磁通量
声学
材料科学
噪音(视频)
磁噪声
电气工程
电子工程
工程类
磁场
计算机科学
物理
电磁线圈
电磁屏蔽
量子力学
图像(数学)
宏观经济学
人工智能
经济
作者
Liyuan Ren,Zhiliang Liu,Jianguo Zhou
出处
期刊:IEEE Transactions on Instrumentation and Measurement
[Institute of Electrical and Electronics Engineers]
日期:2021-01-01
卷期号:70: 1-9
被引量:3
标识
DOI:10.1109/tim.2021.3112792
摘要
Steel wire rope (SWR) is widely utilized in scenarios, such as goods transmission, elevators, and dams. However, SWR defects are unavoidable, so the surface health condition of SWRs should be tested to avoid accidents. After introducing the magnetic flux leakage (MFL) method to detect local flaws (LFs) in multiple channels, we find that shaking noise, like strand noise, is inevitable. Although shaking noise is pointed out, the representation of shaking noise and its phenomenological model are not studied. This article is focused on analyzing the influence of shaking noise on LF detection. The mathematical model of shaking noise is constructed based on its relation to lift-off distance, and shaking noise is simulated to test the performance of shaking noise elimination (SNE) methods. Then, a new SNE method, which retrieves the spatial information of multi-channel MFL signals, is proposed to filter out shaking noise. In comparison with the existing SNE methods, the proposed method improves LF detection in the presence of strong shaking noise. Furthermore, this article also raises awareness of the effects of lift-off distance on LF detection.
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