基于多维曲线拟合算法的空调制冷剂不足故障诊断模型

Fault Diagnosis Model of Air Conditioning Refrigerant Shortage Based on Multidimensional Curve Fitting Algorithm

中央空调多联机机组在各类建筑的空调系统中有着广泛运用,其中制冷剂不足将极大影响多联机机组的正常运转。为有效实现制冷剂不足的在线故障诊断,提出多维拟合算法。首先,基于建立的故障诊断模型开展模拟实验,再对实验数据采取预处理;最后,利用模型和处理后的数据进行故障诊断。结果显示,多联机制冷剂不足故障可通过所建立模型实现诊断,且具有较高的正确率,对空调系统的检修维护工作具有重要的指导意义。

The central air-conditioning multi unit has been widely used in the air-conditioning system of various buildings. The lack of refrigerant will greatly affect the normal operation of the multi unit. In order to realize on-line fault diagnosis of refrigerant shortage effectively, a multidimensional fitting algorithm is proposed in this paper. Firstly, the simulation experiment is carried out based on the established fault diagnosis model, and then the experimental data is preprocessed;Finally, the model and the processed data are used for fault diagnosis. The results show that the multi line refrigerant shortage fault can be diagnosed by the established model, and has a high accuracy. It has an important guiding significance for the maintenance of the air conditioning system.