In this paper, the auto-regressive model based pseudo-Wigner-Ville distribution for an integrated time-frequency signature extraction of the machine vibration ...
“Joint Time-Frequency and Kernel Principal Component Based SOM for Machine Maintenance” is a paper by Qianjin Guo Haibin Yu Yi-Yong Nie Aidong Xu published ...
Bibliographic details on Joint Time-Frequency and Kernel Principal Component Based SOM for Machine Maintenance.
Joint time-frequency and kernel principal component based SOM for machine maintenance ... kernel principal component based SOM for machine maintenance[C] ...
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Jul 1, 2023 · In detecting physical damage to the scrutinized part, a joint time-frequency analysis technique called WVD has been derived for non-stationary ...
Nov 11, 2021 · This study proposes a non-nonlinear transformation to separate loading effects from damage-sensitive features. Based on a baseline data set ...
Application platform Condition-based maintenance Electrical machines ... Joint time-frequency and kernel principal component based SOM for machine maintenance.
Joint Time-Frequency and Kernel Principal Component Based SOM for Machine Maintenance · Guo. ,. Huang. ,. Nie. et al. 2006. Advances in Neural Networks - ISNN ...
This paper focuses on the fault diagnosis for NC machine tools and puts forward a fault diagnosis method based on kernel principal component analysis (KPCA) ...
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NC Machine Tools Fault Diagnosis Based on Kernel PCA and k
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May 31, 2024 · This paper focuses on the fault diagnosis for NC machine tools and puts forward a fault diagnosis method based on kernel principal component ...