The Application Research on Signal Processing Technology in Non-Destructive Test Technology

2013 ◽  
Vol 380-384 ◽  
pp. 3474-3478
Author(s):  
Di Jin Guan

The high-precision instruments must be tested to ensure the accuracy and the normal use of the instrument in the application. Traditional detection techniques damage the instrument. So, researching for a technology which has no destruction on high precision instrument is important. This paper puts forward a new ultrasonic nondestructive test technology of precision instruments through empirical mode decomposition method of modern signal processing technology and ultrasonic nondestructive test technology. The first part describes the shortcomings of modern signal processing technology--Fourier and wavelet analysis and the advantage of empirical mode decomposition method. The second part establishes the mathematical model of ultrasonic nondestructive test technology. It also establishes empirical model to enhanced signal and noise ratio using the self-adaptivity of the empirical mode decomposition. It also extracts Intrinsic Mode Function (IMF) of ultrasonic nondestructive test technology using EMD and Hilbert transform signal processing method. Finally, it gets Nonlinear and non-steady-state frequency power spectrum which provides a reliable theoretical basis for the study of nondestructive test technology.

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Xiaohan Liu ◽  
Guangfeng Shi ◽  
Weina Liu

With the development of electronic measurement and signal processing technology, nonstationary and nonlinear signal characteristics are widely used in the fields of error diagnosis, system recognition, and biomedical instruments. Whether these features can be extracted effectively usually affects the performance of the entire system. Based on the above background, the research purpose of this paper is an improved vibration empirical mode decomposition method. This article introduces a method of blasting vibration signal processing—Differential Empirical Mode Decomposition (DEMD), combined with phosphate rock engineering blasting vibration monitoring test, and Empirical Mode Decomposition (EMD) to compare and analyze the frequency screening of blasting vibration signals, the aliasing distortion, and the power spectrum characteristics of the decomposed signal. The results show that compared with EMD, DEMD effectively suppresses signal aliasing and distortion, and from the characteristics of signal power spectrum changes, DEMD extracts different dominant frequency components, and the frequency screening effect of blasting vibration signals is superior to EMD. It can bring about an obvious improvement in accuracy, and the calculation time is about 4 times that of the EMD method. Based on the ground analysis of ground motion signals, this paper uses the EMD algorithm to analyze measured ground blast motion signals and study its velocity characteristics and differential time, which provides a new way of studying motion signals.


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