大型离心通风机小型化监控平台关键技术研究

Key Technology of Large Centrifugal Fan Monitoring Miniaturization Platform Research

在建立大型离心通风机小型化监控平台的过程中,由于监控数据容易受到外界噪声、工况变动、系统调整等因素的干扰,当前方法存在监控精确度差的问题。提出了利用最小均方误差准则算法的大型离心通风机小型化平台监控方法。按照最小均方误差估算离心通风机监控过程中监控参数的独立成分重要性,按照估算的结果进行排序,在组建通风机监控特征阈值模型的过程中,进行更新样本递推,实现通风机故障的自适应阈值检测,完成了大型离心通风机监控过程,并满足小型化平台的需求。实验结果证明,利用最小均方误差准则算法的大型离心通风机小型化监控平台的精确度高,效率高。

The paper proposed a large centrifugal fan miniaturization platform monitoring method based on minimum mean square error criterion. Based on the minimum mean square error, the importances of the independent component of the monitoring parameters was estimated and sorted accordingly in the process of centrifugal fan monitoring. In the process of forming the threshold model of ventilator monitoring characteristics, the samples recurse was carried out, so as to realize the adaptive threshold detection of fan fault, finish the large centrifugal fan monitoring procedure, and meet the needs of miniaturization of the platform. The experimental simulation proves that the algorithm is of high precision and high efficiency.