The Research on the Failure Mode Classification Based on Reconstructed Phase Space and GMM

2010 ◽  
Author(s):  
Han Xiao ◽  
Yourong Li ◽  
Lv Yong
2011 ◽  
Vol 93 (5) ◽  
pp. 418-429 ◽  
Author(s):  
Eric R. Henderson ◽  
John S. Groundland ◽  
Elisa Pala ◽  
Jeremy A. Dennis ◽  
Rebecca Wooten ◽  
...  

2012 ◽  
Vol 562-564 ◽  
pp. 1394-1397
Author(s):  
Yu Hua Dong ◽  
Hai Chun Ning

This paper proposes a method of wavelet transform combined with SVD (Singular Value Extracting), and the abnormal data elimination in its trajectory measurement is studied. After the wavelet decomposition of the observed data, combining the approximate component and the detail component, the phase space is reconstructed. The increment criterion of singular entropy is used for the input observed matrix of SVD, and the singular value is selected. Then the original signal is reconstructed by SVD inverse transform. This method overcomes the distortion problem of data end in phase space reconstruction by Hankel matrix. The reconstructed phase space by components of wavelet decomposition is orthogonal. So it further improves the accuracy of noise reduction and abnormal detection by SVD. The results of experimental data processing show the effectiveness of this method proposed in the paper.


2018 ◽  
Vol 51 (3) ◽  
pp. 443-449 ◽  
Author(s):  
Cecília M. Costa ◽  
Ittalo S. Silva ◽  
Rafael D. de Sousa ◽  
Renato A. Hortegal ◽  
Carlos Danilo M. Regis

2021 ◽  
pp. 205-249
Author(s):  
V. S. Bharath Kurukuru ◽  
Mohammed Ali Khan ◽  
Azra Malik

Author(s):  
Piyush Saxena ◽  
Devansh Saxena ◽  
Xiao Nie ◽  
Aaron Helmers ◽  
Nithin Ramachandran ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document