Kurtosis estimation method for non-Gaussian random vibration signal

• Main Authors: WANG JUE, ZHU XUEWANG, NIU BAOLIANG, NING ZUOGUI, WANG DONGSHENG, CHENG ZONGJUN, LIU QINGLIN, FAN QINGHUI, YANG CHONG
• Format: Patent
• Language: Chinese; English
• Published: 11.05.2021
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention relates to a kurtosis estimation method for a non-Gaussian random vibration signal, and the method comprises a data length judgment step: constructing a new virtual control signal z (i) with the data length of NN according to an obtained actual measurement control signal x1 (i) with the data length of N1 and a constructed virtual control signal x2 (i) with the data length of N2, entering the next step when the data length NN of the new virtual control signal meets the precision requirement of statistical analysis; a segmented kurtosis estimation step: segmenting the new virtual control signal z (i) meeting the statistical analysis requirement, and respectively calculating kurtosis kui; and a kurtosis estimation value smoothing step: carrying out arithmetic mean value calculation on the segmented kurtosis kui to obtain a final estimation value ku. According to the method, effective estimation of the kurtosis value can be obtained according to the actually measured non-Gaussian random vibration di