TY - JOUR
T1 - A novel patch-matching 2D denoising method for fault diagnosis of roller bearings
AU - Wang, Mengjiao
AU - Chen, Yangfan
AU - Yu, Samson Shenglong
AU - Zhang, Xinan
AU - Iu, Herbert Ho Ching
AU - Li, Zhijun
AU - Zeng, Yicheng
PY - 2020/11
Y1 - 2020/11
N2 - The vibration signal of roller bearings contains important information, but the strong background noise makes fault diagnosis difficult. In this paper, inspired by the idea of a block-matching 3D algorithm, using local and nonlocal correlation of vibration signal, a patch-matching 2D (PM2D) denoising method is proposed for the first time to suppress noise in vibration signals. The proposed denoising method constructs similarity matrices of component modules, which are used for threshold processing to determine the coefficients of the 2D discrete cosine transform, so as to achieve optimal denoising performance. Then, empirical mode decomposition and envelope analysis are employed to perform fault diagnosis. The proposed PM2D denoising method and fault diagnosis strategies are applied to both simulated and measured signals. A comparison study shows the superiority of the proposed method over the other existing denoising methods.
AB - The vibration signal of roller bearings contains important information, but the strong background noise makes fault diagnosis difficult. In this paper, inspired by the idea of a block-matching 3D algorithm, using local and nonlocal correlation of vibration signal, a patch-matching 2D (PM2D) denoising method is proposed for the first time to suppress noise in vibration signals. The proposed denoising method constructs similarity matrices of component modules, which are used for threshold processing to determine the coefficients of the 2D discrete cosine transform, so as to achieve optimal denoising performance. Then, empirical mode decomposition and envelope analysis are employed to perform fault diagnosis. The proposed PM2D denoising method and fault diagnosis strategies are applied to both simulated and measured signals. A comparison study shows the superiority of the proposed method over the other existing denoising methods.
KW - Empirical modal decomposition
KW - Envelope analysis
KW - Fault diagnosis
KW - Patch-matching 2D
KW - Vibration signal
UR - http://www.scopus.com/inward/record.url?scp=85092659896&partnerID=8YFLogxK
U2 - 10.1088/1361-6501/aba071
DO - 10.1088/1361-6501/aba071
M3 - Article
AN - SCOPUS:85092659896
SN - 0957-0233
VL - 31
JO - Measurement Science and Technology
JF - Measurement Science and Technology
IS - 11
M1 - 115018
ER -