Long-Range Correlations and Natural Time Series Analyses from Acoustic Emission Signals

Long-Range Correlations and Natural Time Series Analyses from Acoustic Emission Signals

This work focuses on analyzing acoustic emission (AE) signals as a means to predict failure in structures. There are two main approaches that are considered: (i) long-range correlation analysis using both the Hurst (H) and the detrended fluctuation analysis (DFA) exponents, and (ii) natural time dom...

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Bibliographic Details
Main Authors: Leandro Ferreira Friedrich, Édiblu Silva Cezar, Angélica Bordin Colpo, Boris Nahuel Rojo Tanzi, Mario Sobczyk, Giuseppe Lacidogna, Gianni Niccolini, Luis Eduardo Kosteski, Ignacio Iturrioz
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Applied Sciences
Subjects:
acoustic emission
long-range correlations
natural time analysis
heterogeneous materials
Online Access:https://www.mdpi.com/2076-3417/12/4/1980

Internet

https://www.mdpi.com/2076-3417/12/4/1980

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