说明：  在简单介绍WH-800型离心机基本结构及工作原理的基础上, 介绍了基于重构吸引子轨迹矩阵的奇异值分解技术,并引入自相关函数对现有奇异值分解技术加以改进. 通过对现场实测故障信号的分析,表 明改进的奇异值分解技术具有很好的降噪效果,能在强噪声背景环境下准确提取设备的故障特征信号, 为离心机的故障诊断提供了一种新的思路.
(After a brief introduction WH-800 centrifuge basic structure and working principle, based on the presented based on the reconstructed attractor trajectory matrix singular value decomposition, and the introduction of the autocorrelation function of the existing singular value decomposition technique to be improved. Through field measurement fault signal analysis, show that the improved singular value decomposition technique has good noise reduction effect, in a strong noise environment, accurate extraction equipment failure characteristic signal for fault diagnosis centrifuge provides a new way of thinking .)