Research Of Sensor Fault Diagnose Methods In Air-Conditioning System Based On Data Driven

Large public building energy consumption is huge,the air conditioning system optimization control and timely fault diagnosis to save building energy consumption is significant.Accurate readings of air-conditioning system sensors is the prerequisite for optimal control and accurate diagnosis of component failure.In order to ensure accurate air-conditioning sensor readings,many domestic and foreign scholars are studying air conditioning system sensor fault diagnosis method.The difficulty of air conditioning sensor fault is the gradual failure and the existing fault diagnosis.The traditional fault diagnosis method can not effectively solve these problems.In this paper,the following work and improvement are mainly done on the basis of traditional fault diagnosis:Firstly,this paper considers the large number of similar air-conditioning units in large public buildings,and the model parameters based on the principle that similar units obey the the same statistical characteristics.This method overcomes the limitation of traditional fault diagnosis methods.The shortcomings of this unit data comparison,can more effectively detect the system's existing failures.Secondly,the chi-square fitting test is used to fit the whole distribution of the unit parameters,and the detection of the whole distribution law of the sample can detect the small gradient of the system more effectively than the traditional method of checking single statistic parameter.malfunction.Finally,the paper describes the fluctuation similarity between sensor readings based on principal component analysis(PCA),which can save system maintenance costs by distinguishing between sensor failure and component failure according to the variation of wave similarity and fault recognition rules.The simulation results show that the method is more accurate than other fault classification methods.In this paper,a large number of real-time sensor data are collected in the experimental air-conditioning system,and simulated by MATLAB.After filtering the data,the parameters of the units are obtained,and the EM algorithm is used to cluster these units.By the ROC curve of the chi-square fitting test and the traditional fault detection method,the chi-square fitting test detect gradient fault better.After detecting the fault of the unit,we can effectively identify the sensor failure and the component failure by monitoring the fluctuation similarity.