Method Kolmogorov entropy (KE) was applied to measure the chaotic degree of physiological central fatigue and the changes of KE of different subjects’ EEG under different mental fatigue status were analyzed.

In the thesis,the definition of Kovmogolov entropy is described,and the method for acquiring K 2_entropy is given based on time series.

Then after a series of data transformations on original data,the quasi-distribution function is obtained and Kolmogorov test is used to evaluate the similarity of fingerprints of two classes of samples.

By analyzing the current methods for deter mining the failure distribution model,a new determination method is proposed that uses kolmogorov test to verify the validity of the distribution model and then uses two-level comprehensive fuzzy evaluation method to validate the model.