The Detection Method for Surface Quality of Parts Based on PCA and Wavelet Transform

Xin Ning; Li Pu Ning; Bin Feng Yang; Feng Tian; Xin Hua Mao

doi:10.4028/www.scientific.net/AMR.314-316.2394

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 314-316The Detection Method for Surface Quality of Parts...

The Detection Method for Surface Quality of Parts Based on PCA and Wavelet Transform

Abstract:

In this thesis, the digital figure of the defect of the casting elements is extracted by PCA. And a new method that simplifies the automatic quality detection is also brought forward. The author not only expounds the theory of PCA, the calculating method, the segmentation of digital figure and the feature extraction, but also analysis the real example to optimize the selecting of the preferences. This thesis is valuable in the real manufacture.

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Periodical:

Advanced Materials Research (Volumes 314-316)

Pages:

2394-2397

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.314-316.2394

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Online since:

August 2011

Authors:

Xin Ning, Li Pu Ning, Bin Feng Yang, Feng Tian, Xin Hua Mao

Keywords:

Principal Component Analysis (PCA), Surface Quality Detection, Wavelet Transform (WT)

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