Novel Modulus Maximum Denoising Algorithm Based Wavelet for Ultrasonic Testing Signal of Titanium Alloy

摘要

Ultrasonic testing signal of titanium alloy is always immingled with large noise. The purpose of this article is to distinguish the different noise and distill the defection. Modulus maximum algorithm based wavelet is used to denoise the testing signal of titanium alloy. For the request of singularity analysis, secondary differential coefficient of gauss function-Marr function is selected as mother wavelet. This paper presents several waveform chats collected from examinations and dealed with wavelet algorithm. Examples prove that the result is satisfaction.