Quantification feature extraction of rotor fault signal by means of information entropy combined with empirical mode decomposition
Juan Yang · Journal of Lanzhou University of Technology · 2013
Aimed at the nonlinearity and non-stationary of rotor vibration signal as well as the difficulty of its quantitative and accurate description,a method of quantitative feature extraction of rotor vibration signal was presented based on information entropy and empirical mode decomposition(EMD).In this method were contrasted the energy state and its correlation degree to original signal of all intrinsic mode function(IMF) after EMD of the rotor fault signal and the IMFs with key fault information were determined.Then the entropy values of the four information entropy were evaluated in the time domain,frequency domain and time-frequency domain respectively,so that a feature quantity of information entropy was set up.The analysis result of experimental signal showed that this method could be used to realize well the extraction of quantitative feature of rotor system fault signal.The set of extracted feature would have the capability to makeremarkabe difference between the feature quantities of the typical fault signal.