离心机试验机不平衡问题的模式识别方法研究

Research on Pattern Recognition Methods for Imbalance Problems in Centrifuge Experimental Equipment

为解决离心机不平衡的判断问题,结合实际产品的理论分析,本文提出一种基于振动信号的模式识别方法。本文方法在离心机不平衡问题的理论分析基础上,首先根据分析得出的比例系数采集对应振动信号,其次将该振动信号作为实验数据与实际运行数据进行特征值分析、分类器辨识过程,得出实际的比例系数,随后计算出当前离心机运转过程中所存在的离心力,最终依据离心力大小判断离心机设备的不平衡程度。

In order to solve the problem of unbalanced judgment of centrifuges and combine the theoretical analysis of actual products, this paper proposes a pattern recognition method based on vibration signals.The method of this paper is based on the theoretical analysis of the imbalance problem of the centrifuge. First, the corresponding vibration signal is collected based on the scale factor obtained from the analysis, and secondly, the vibration signal is used as experimental data and actual operating data for eigenvalue analysis and classifier identification process to obtain the actual scale factor, and then calculate the centrifugal force present in the current centrifuge operation process, and finally judge the degree of imbalance of the centrifuge equipment based on the size of the centrifugal force.