Open AccessInfluence of Sampling Frequency in DCPD Crack Monitoring
Author(s) -
Liang Zhang,
He Xue,
Chenqiang Ni,
Siyu Gou
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/616/1/012024
Subject(s) - acoustics , signal (programming language) , interference (communication) , sampling (signal processing) , filter (signal processing) , noise (video) , materials science , autoclave , computer science , engineering , electrical engineering , physics , telecommunications , metallurgy , channel (broadcasting) , artificial intelligence , image (mathematics) , programming language
Due to the particularity of autoclave environment, it is difficulty to real-time monitor the crack growth state in the autoclave, and Direct Current Potential Drop method (DCPD) is widely in the crack propagate monitor in this kind experiment. The signal characterized by DCPD method is usually submerged by strong noise. In this paper, the extraction and filtering methods of crack characteristics in high temperature and high pressure environment are studied. The SINC filter is used to obtain crack initial data information and filter out the pulse interference signal, and the FIR filter is used to filter out high frequency interference. Finally, crack monitoring experiments at different sampling frequencies were studied. The experimental results show that the sampling frequency has a great influence on the stability and anti-interference ability of the data.