Citation

Li C. China Saf. Sci. J. 2019; 29(12): 97-102.

Copyright

(Copyright © 2019, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2019.12.016

PMID

unavailable

Abstract

In order to better analyze non-linear coupling characteristics and causes of complex materiel accidents, MF detrended fluctuation analysis (MFDFA) was improved by using WPD, and MF spectrum was analyzed with qth moment partition function. Secondly, influence on multifractality of long-range correlation and fated-tail distribution of nonlinear time series was discussed through comparing MF spectrum of two kinds of transformed time series, random shuffling and phase randomization. Finally, with class A flight accidents data of United States air force (USAF) from 1946 to 1996 as an example, nonlinear coupling characteristics of those accidents were analyzed. The results show that it has obvious multifractality with its distribution range of general hurst index and fractal spectrum width at [1. 213 8, 3. 431 4] and [0. 293 7,1. 702 5] respectively. The major cause for its multifractality is long range correlation and minor one is fated-tail distribution. © 2019 China Safety Science Journal

Language: zh