Journal•
Nonde Structive Testing
About: Nonde Structive Testing is an academic journal. The journal publishes majorly in the area(s): Ultrasonic testing & Nondestructive testing. Over the lifetime, 63 publications have been published receiving 200 citations.
Topics: Ultrasonic testing, Nondestructive testing, Acoustic emission, Artificial neural network, Magnetic particle inspection
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Papers
Journal Article•
TL;DR: In this article, the development of acoustic emission (AE) signal processing and analysis technique was reviewed. Some challenging problems confronted and various methods in use were also outlined. And the general state of AE instrument development was also described.
Abstract: The development of acoustic emission (AE) signal processing and analysis technique was reviewed. Some challenging problems confronted and various methods in use were also outlined. The general state of AE instrument development was also described.
28 citations
Journal Article•
TL;DR: The principle of wavelet transform and the typical Mallat algorithm are introduced and the application of the signal processing technique to ultrasonic testing are described.
Abstract: The principle of wavelet transform and the typical Mallat algorithm are introduced. And the application of the signal processing technique to ultrasonic testing are also described.
21 citations
Journal Article•
TL;DR: In this paper, an artificial neural network pattern recognition technique was employed to analyze AE source signals of pressure vessels in site, which made it possible to evaluate the safety condition of pressure vessel by acoustic emission testing and gave the percentage of crack growing, slag inclusion cracking, residual stress releasing and structure rubbing signals for a complex AE source.
Abstract: The artificial neural network pattern recognition technique was employed to analyze AE source signals of pressure vessels in site. A concept for quantitative analysis of AE sources of pressure vessels by artificial neural network classification was given and the method for evaluating the severity of an AE source was thus found. The artificial neural network designed and trained gave the percentage of crack growing, slag inclusion cracking, residual stress releasing and structure rubbing signals for a complex AE source. The result made it possible to evaluate the safety condition of pressure vessels by acoustic emission testing.
10 citations
Journal Article•
TL;DR: In this paper, a metal magnetic memory testing technique is described including its basic principles, instrument, test research and characteristics, as a nondestructive testing technique for early stage diagnosis of metal.
Abstract: Metal magnetic memory testing technique is described including its basic principles, instrument, test research and characteristics. As a nondestructive testing technique for early stage diagnosis of metal, it is sure to be widely applied and popularized.
9 citations
Journal Article•
TL;DR: In this paper, a review of both linear and nonlinear methods of spectral analysis for ultrasonic nondestructive testing is given, where the principle of fast Fourier transform and autoregressive spectral analysis are presented.
Abstract: A review is given of both linear and nonlinear methods of spectral analysis for ultrasonic nondestructive testing. The principle of fast Fourier transform and autoregressive spectral analysis are presented. The results obtained by experiments are discussed. Some suggestions are made of promising directions for future research.
7 citations
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Performance Metrics
| Year | Papers |
|---|---|
| 2003 | 2 |
| 2002 | 35 |
| 2001 | 26 |