Spectrum-feature extraction from diffuse reflectance using multiplicative-factor decomposition

Author(s):  
Samuel G. Lambrakos ◽  
Robert Furstenberg ◽  
Christopher J. Breshike ◽  
Christopher A. Kendziora ◽  
Tyler J. Huffman ◽  
...  
2020 ◽  
Vol 155 ◽  
pp. 01006
Author(s):  
Huang Wenquan

On-Load Tap-Changer is an important device with high failure rate in power systems. This paper proposes an improved EMD energy spectrum feature extraction method based on vibration signals. It divides the entire OLTC shifting process into two sections, and extracts their characteristic energy spectrum. Analysis of sample data shows that this method can more effectively distinguish the state of OLTC.


2015 ◽  
Vol 731 ◽  
pp. 87-91 ◽  
Author(s):  
Li Zheng Zhang ◽  
Jin Cheng Li

In the field of printing research, color replication based on spectrum need to solve the issues that how to get cyan, magenta and yellow ink spectrum feature extraction. In this study, based on spectral derivative and spectral image deviation, establish a method to choose special wavelength positions for making up the corresponding relation between ink value and ink spectral reflectivity. The ink scales are printed on papers in the way that the value of the ink dot increase 5% from 0-100%. Ink spectrum reflectivity curves are made up through measuring ink scales. The first-order derivatives of cyan, magenta and yellow ink spectrum reflectivity curves in the range of 380-730nm, in sequence, change smooth at 650nm, 530-560nm, 450nm, and change violently at 530nm, 600nm, 500nm wavelength position. Based on spectral image deviation, the cyan ink spectral wavelength in the range of 630-730nm, the magenta ink spectral wavelength in the range of 500-540nm, include the most information and the least correlation. For the reason that yellow ink spectral images intersect with others, the analysis is combined with first-order derivative of ink spectrum curves. The method proposed in this paper is propitious to get primary ink spectral feature for color spectrum separation.


Author(s):  
David Zhang ◽  
Wangmeng Zuo ◽  
Peng Wang

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