A Lifespan Pre-Estimated Method for Oxygen Production Systems Based on Support Vector Machine Regression
With the deepening of China's aging population and the continuous expansion of the domestic medical system market in the post-epidemic era,the development of the oxygen production system industry has entered a stage of rapid expansion.At the same time,with the problem of irreversible damage to the life and psychology of oxygen users caused by sudden failures in the oxygen production system,the oxygen industry urgently needs a method for estimating the lifespan of oxygen production systems to solve the problem of sudden failures affecting the safety of life and property of oxygen users.In this study,a lifespan pre-estimated method for oxygen production systems based on support vector regression(SVR)was proposed.Firstly,an life prediction model was established based on the principle of SVR.By training the oxygen concentration monitoring data of a certain oxygen production system for 3500 hours using SVR,a lifespan pre-estimated model for the oxygen production system was obtained.Then,300 sets of oxygen concentration data were lawly selected for training set prediction and prediction set prediction,respectively.The results showed that the prediction model has high accuracy,and the prediction results of the model on the prediction set samples were basically consistent with the true values of oxygen concentration monitoring.Finally,the adsorption tower of the oxygen production system was disassembled and verified,and it was found that the molecular sieve did indeed exhibit lose efficacy.The actual measurement of lose efficacy degree was 6%,indicating that the model can be applied to the lifespan prediction of the oxygen production system and achieve good results.Therefore,the life prediction method for oxygen production systems based on SVR can accurately and effectively estimate the service life of oxygen production systems,avoid sudden failures,and provide ideas for the subsequent lifespan prediction methods of oxygen production systems.
Support vector regressionOxygen production systemLifespan predictionSensor