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首页> 外文期刊>Journal of Sound and Vibration >Fan fault diagnosis based on symmetrized dot pattern analysis and image matching
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Fan fault diagnosis based on symmetrized dot pattern analysis and image matching

机译:基于对称点模式分析和图像匹配的风扇故障诊断

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摘要

To detect the mechanical failure of fans, a new diagnostic method based on the symmetrized dot pattern (SDP) analysis and image matching is proposed. Vibration signals of 13 kinds of running states are acquired on a centrifugal fan test bed and reconstructed by the SDP technique. The SDP pattern templates of each running state are established. An image matching method is performed to diagnose the fault. In order to improve the diagnostic accuracy, the single template, multiple templates and clustering fault templates are used to perform the image matching. (C) 2016 Elsevier Ltd. All rights reserved.
机译:为了检测风扇的机械故障,提出了一种基于对称点阵图分析和图像匹配的诊断方法。在离心式风扇试验台上获取13种运行状态的振动信号,并通过SDP技术对其进行重构。建立每个运行状态的SDP模式模板。执行图像匹配方法以诊断故障。为了提高诊断准确性,使用单个模板,多个模板和聚类故障模板来执行图像匹配。 (C)2016 Elsevier Ltd.保留所有权利。

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