Fluctuation Analyses for Pattern Classification in Nondestructive Materials Inspection. (12th July 2010)

• Record Type: Journal Article
• Authors: Vieira Vieira, A. P. A. P.; de Moura de Moura, E. P. E. P.; Gonçalves Gonçalves, L. L. L. L.
• Other Names: Rebello Rebello João Marcos A. João Marcos A. Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2010(2010)
• Publication Date: 2010-07-12
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2010/262869
• Languages: English
• ISSNs: 1687-6172

Abstract

Abstract : 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.