压缩机安装振动参数诊断特征识别算法

2015 XVIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2015-05-19 DOI:10.1109/SCM.2015.7190463

V. Alekseev, I. Kalyakin, V. Konovalova, P. Korolev, A. Perkova

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引用次数: 10

摘要

本文综述了NGV加气站诊断压缩机安装问题的技术解决方案。建立了表征缺陷的频率范围与小波滤波器电平的对应关系。该算法允许您设置谐波的振幅并诊断问题。

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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Diagnostic features identification algorithm according to vibration parameters of a compressor installation

In the report the technical solution to the problem of diagnosis compressor installation of NGV filling stations is reviewed. The correspondence between the frequency ranges that characterize the defects and levels of wavelet filter is established. The algorithm allows you to set the amplitude of the harmonics and diagnose the problem.

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2015 XVIII International Conference on Soft Computing and Measurements (SCM)

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