Open Access

Fluctuation Analyses for Pattern Classification in Nondestructive Materials Inspection

EURASIP Journal on Advances in Signal Processing20102010:262869

Received: 30 December 2009

Accepted: 25 June 2010

Published: 12 July 2010


We review recent work on the application of fluctuation analyses of time series for pattern classification in nondestructive materials inspection. These analyses are based on the evaluation of time-series fluctuations across time intervals of increasing size, and were originally introduced in the study of fractals. A number of examples indicate that this approach yields relevant features allowing the successful classification of patterns such as (i) microstructure signatures in cast irons, as probed by backscattered ultrasonic signals; (ii) welding defects in metals, as probed by TOFD ultrasonic signals; (iii) gear faults, based on vibration signals; (iv) weld-transfer modes, as probed by voltage and current time series; (v) microstructural composition in stainless steel, as probed by magnetic Barkhausen noise and magnetic flux signals.


Time SeriesWeldingCast IronMagnetic FluxQuantum Information

Publisher note

To access the full article, please see PDF.

Authors’ Affiliations

Instituto de Física Universidade de São Paulo, São Paulo, Brazil
Departamento de Engenharia Metalúrgica e de Materiais, Universidade Federal do Ceará, Fortaleza, Brazil


© Vieira et al. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.