一种改进的离散谱校正方法在电机故障诊断中的应用

Jia-lin Wang, Xuanfang Yang
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引用次数: 0

摘要

频谱分析是检测电机故障信号中微弱特征频率成分的重要方法。然而,由于电机故障信号中存在复杂的频率成分,需要采用离散频谱校正技术来减小频谱分析得到的幅值和相位误差。在分析现有算法优缺点的基础上,提出了一种基于相位差法的改进频谱校正方法,并进行了仿真研究,验证了算法的准确性。研究结果表明,本文所采用的算法具有较高的准确率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of an Improved Discrete Spectrum Correction Method in Motor Fault Diagnosis
Spectrum analysis is an important method to detect the weak characteristic frequency component of motor fault signal. However, according to the complex frequency components in motor fault signals, discrete spectrum correction technology is needed to reduce the error of amplitude and phase obtained by spectrum analysis. Based on the analysis of the advantages and disadvantages of the existing algorithm, an improved spectrum correction method based on the phase difference method is proposed, and the simulation research is carried out to verify the accuracy of the algorithm. The research results show that the algorithm used in this paper has high accuracy.
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