Keywords
vibration diagnostic signals
excess kurtosis
non-Gaussian distributions
rolling bearings of electric machines системи контролю
вібраційні діагностичні сигнали
коефіцієнт ексцесу
негауссівські розподіли
підшипники кочення електричних машин
How to Cite
Abstract
Expediency of use of diagnostic signals excess kurtosis for recognition of two conditions of control object is proved. On examples of typical symmetric distributions bigger sensitivity of excess kurtosis to difference of diagnostic signals distributions in comparison with an integrated metrics is confirmed. An algorithm is proposed and the minimum sample size of the diagnostic signal is calculated to estimate the excess kurtosis required to detect defects in the diagnosed object. Computer simulation of the excess kurtosis realizations of vibration of rolling bearings of electric machines is carried out. When carrying out the simulation, Student distribution was used as a test with different degrees of freedom, which confirmed the reliability of the results obtained. References 10, tables 3, figures 5.
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