PSA Oxygen Generator Air Control Valve Fault Diagnosis Based on Support Vector Machine
LIU Jianmin1, HUANG Xin2, JIA Shen3, QIN Hao1, CHEN Xize3, WANG Changlong1
1. China Oxygen Medical Technology (Dalian) Co., Ltd., Shenyang Liaoning 116000, China; 2. The Second Medical Center, General
Hospital of the Chinese People’s Liberation Army, Beijing 100853, China; 3. School of Medical Engineering, Shenyang University of
Technology, Shenyang Liaoning 110870, China
Abstract：Objective To propose a fault diagnosis method, which can effectively diagnose the fault categories of pressure swing
adsorption (PSA) oxygen generator air control valve, and prevent the PSA oxygen generator from not working due to the fault of the
air control valve. Methods The time domain and frequency domain analysis methods were used to analyze the pressure signals of the
air control valve, and the characteristic values representing typical faults were selected, and the selected characteristic values were
trained on the support vector machine (SVM) to obtain an accurate SVM model. The SVM model was used to classify the pressure
signals of the air control valve. Results Ten air control valves were selected for non-label verification, and 200 sets of data were
collected for each air control valve and put into the SVM model for fault diagnosis. The experimental results were exactly the same
as those predicted by SVM model, and the accuracy of experimental verification was 100%. Conclusion A fault diagnosis method
for air control valve of oxygen generator is proposed based on the combination of time domain and frequency domain characteristics
and SVM model. Through this method, the fault categories of air control valve can be effectively and efficiently diagnosed, and the
components in air control valve can be accurately replaced or repaired, which provides ideas and methods for the subsequent fault
diagnosis of air control valve.
刘健民1，黄鑫2，贾申3，秦昊1，陈曦泽3，王长龙1. 基于支持向量机的PSA制氧机
气控阀故障诊断[J]. 中国医疗设备, 2024, 39(2): 63-69.
LIU Jianmin1, HUANG Xin2, JIA Shen3, QIN Hao1, CHEN Xize3, WANG Changlong1. PSA Oxygen Generator Air Control Valve Fault Diagnosis Based on Support Vector Machine. China Medical Devices, 2024, 39(2): 63-69.
