Improved SVM Based Intelligent Diagnosis Method for Electromagnetic Valve Faults in Refrigeration Compressors
The commonly used fault diagnosis methods and fault-tolerant control methods for electromagnetic valves have limitations,making it difficult to accurately distinguish between faults and maloperations,which affects the accuracy of diagnosis.This study proposes an intelligent fault diagnosis method for refrigeration compressor electromagnetic valves based on improved support vector machine(SVM)to address this issue.The main purpose of this study is to accurately classify the fault levels of refrigeration compressor electromagnetic valves and extract fault signal features by introducing multi-factor evaluation and Morlet wavelet optimization methods,in order to improve the accuracy and reliability of diagnosis.To achieve this goal,a finite target set of health factors for the electromagnetic valve of the refrigeration compressor is first set,and its status is evaluated by designing the membership degree between each health factor and the evaluation set.For different fault levels,the Morlet wavelet optimization method is used to determine the wavelet morphology of the fault signal,and soft threshold denoising and transient signal reconstruction are used to extract fault features.Subsequently,the support vector machine algorithm is used to effectively classify the fault feature data,and the parameters are optimized using the Taurus whisker algorithm to obtain the optimal diagnostic performance.The experimental results show that the proposed method can accurately diagnose the fault of the electromagnetic valve of the refrigeration compressor,which is completely consistent with the actual fault situation.Compared with traditional fault diagnosis methods,this method not only improves diagnostic accuracy,but also effectively eliminates interference from maloperation.The mean square error of the diagnostic results can be reduced to 0.05,demonstrating superior diagnostic performance.
improve support vector machinesrefrigeration compressorelectromagnetic valvefault identificationstatus assessmentwavelet optimization
NETL
NSTL
万方数据
