The Study on the Methods of Identifying Ice Thickness in the Capacitive Sensor Measuring System

There are larger errors in identifying the ice thickness because of the outliers or singular values existing in the data sampled in the capacitive sensor system.In order to improve the identifying accuracy,we designed the method of segment mean value and the method of singular spectrum,which are used to process groups of sampled data obtained with the help of the ice thickness sensors.After a comparative analysis of the results,it is noticed that the accuracy of ice thickness identification is improved markedly since the outliers and singular values are eliminated with the noise treatment by adopting the spectrum method.