NDLI: Feature Extraction of Ultrasonic Flaw Signals of Pipelines Using Hilbert-Huang Transform

Content Provider	IEEE Xplore Digital Library
Author	Zhang, Qi Que, Pei-wen Mao, Yi-mei
Copyright Year	2008
Abstract	Ultrasonic nondestructive testing technique is widely used to detect material flaws. When flaws were classified using collected ultrasonic echo signals, the features of the ultrasonic flaw signals play an important role in ultrasonic flaw classification systems. In this paper, a new feature extraction method was proposed. Hilbert-Huang Transform was applied to ultrasonic flaw signals to obtain the marginal spectrum, the instantaneous energy density and HHT time frequency spectrum. According to the marginal spectrum, the instantaneous energy density and HHT time frequency spectrum, the features of flaws were extracted in the frequency domain, time domain and time-frequency domain. This is a new feature extraction method. From these new features the flaws can be classified easily.
Starting Page	156
Ending Page	160
File Size	385355
Page Count	5
File Format	PDF
ISBN	9780769531199
DOI	10.1109/CISP.2008.237
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Automation Pipelines Nondestructive testing Time frequency analysis Time measurement Frequency measurement ultrasonic flaw signal Frequency domain analysis feature extraction Signal processing Hilbert-Huang Transform Feature extraction Biomedical signal processing
Content Type	Text
Resource Type	Article

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