Transformer vibration signal de-noising method based on EEMD kurtosis threshold value

• Main Authors: ZHANG KAI, LIU FURONG, SUN FUJUN, TIAN WEI, TAO XINMIN
• Format: Patent
• Language: Chinese; English
• Published: 02.07.2014
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC ORINFRASONIC WAVES; MEASURING; PHYSICS; TESTING

The invention discloses a transformer vibration signal de-noising method based on an EEMD kurtosis threshold value. Many methods have been put forward by domestic and foreign scholars for de-noising of non-stationary signals and are roughly divided into three major types of time-frequency analysis methods based on time domain statistics, Fourier transform and wavelet transform. All the methods have respective advantages and disadvantages, for instance, the theory of the frequency domain method is mature, but signals with overlapped frequency are difficult to separate; although the wavelet transform method has the multi-resolution performance, the de-noising effect of the method usually depends on selection of a wavelet base and a threshold value. The method includes the steps that first, random signals are subjected to EEMD, then, each intrinsic mode function is subjected to autocorrelation function calculation, the kurtosis coefficient of each IMF is solved, next, the IMFs are differentiated through the thre