Fluctuation Analyses for Pattern Classification in Nondestructive Materials Inspection

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 st...

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Bibliographic Details
Published in:EURASIP journal on advances in signal processing 2010-01, Vol.2010 (1), Article 262869
Main Authors: Vieira, A P, de Moura, E P, Gonçalves, L L
Format: Article
Language:English
Subjects:
Classification
Engineering
Fluctuation
Fractal analysis
Inspection
Microstructure
Quantum Information Technology
Review Article
Signal Processing in Advanced Nondestructive Materials Inspection
Signal,Image and Speech Processing
Signatures
Spintronics
Time series
Ultrasonic testing
Weld defects
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Summary: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.
ISSN:1687-6180
1687-6172
1687-6180
DOI:10.1155/2010/262869