TY - JOUR
T1 - Signal feature extraction of aero-engine turbine blade crack detection
AU - Yu, Xia
AU - Zhang, Wei Min
AU - Qiu, Zhong Chao
AU - Chen, Guo Long
AU - Zhao, Dun Hui
PY - 2014/8/1
Y1 - 2014/8/1
N2 - The aero-engine turbine blade is a high precision part. Blade surface crack detection belongs to an irregular surface detection, and is a hotspot and difficulty in the field of non-destructive testing. Taking the unique advantage of eddy current testing into account, a simple, practical and effective differential incentive eddy current probe is designed to detect the prefabricated micro-cracks of aero-engine turbine blades. Since the surface curvature of turbine blade varies, the lift-off effect exists inevitably in the detection process. Therefore, the test results of the detection signal contain noise and multiple singular points. In order to ensure that the important information of defect location is not lost, the combination of the mirror extension empirical mode decomposition (EMD) reconstruction and wavelet singularity detection method is used to process the detected micro-crack signals, filter out the influence of several distortion points on non-cracked positions, and achieve an accurate and effective determination of the micro-crack position of turbine blade. The results show that the method can effectively reduce the noise and interference of detection signal, and extract accurately the feature information of crack signal.
AB - The aero-engine turbine blade is a high precision part. Blade surface crack detection belongs to an irregular surface detection, and is a hotspot and difficulty in the field of non-destructive testing. Taking the unique advantage of eddy current testing into account, a simple, practical and effective differential incentive eddy current probe is designed to detect the prefabricated micro-cracks of aero-engine turbine blades. Since the surface curvature of turbine blade varies, the lift-off effect exists inevitably in the detection process. Therefore, the test results of the detection signal contain noise and multiple singular points. In order to ensure that the important information of defect location is not lost, the combination of the mirror extension empirical mode decomposition (EMD) reconstruction and wavelet singularity detection method is used to process the detected micro-crack signals, filter out the influence of several distortion points on non-cracked positions, and achieve an accurate and effective determination of the micro-crack position of turbine blade. The results show that the method can effectively reduce the noise and interference of detection signal, and extract accurately the feature information of crack signal.
KW - Aero-engine turbine blade
KW - Aerospace system engineering
KW - Micro-crack
KW - Mirror extension EMD
KW - Wavelet singularity
UR - http://www.scopus.com/inward/record.url?scp=84907784501&partnerID=8YFLogxK
U2 - 10.3969/j.issn.1000-1093.2014.08.020
DO - 10.3969/j.issn.1000-1093.2014.08.020
M3 - Article
AN - SCOPUS:84907784501
SN - 1000-1093
VL - 35
SP - 1267
EP - 1274
JO - Binggong Xuebao/Acta Armamentarii
JF - Binggong Xuebao/Acta Armamentarii
IS - 8
ER -