Extreme Learning Machine and Moving Least Square Regression Based Solar Panel Vision Inspection
Joint Authors
Liu, Heng
Zhang, Caihong
Huang, Dongdong
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-16
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
In recent years, learning based machine intelligence has aroused a lot of attention across science and engineering.
Particularly in the field of automatic industry inspection, the machine learning based vision inspection plays a more and more important role in defect identification and feature extraction.
Through learning from image samples, many features of industry objects, such as shapes, positions, and orientations angles, can be obtained and then can be well utilized to determine whether there is defect or not.
However, the robustness and the quickness are not easily achieved in such inspection way.
In this work, for solar panel vision inspection, we present an extreme learning machine (ELM) and moving least square regression based approach to identify solder joint defect and detect the panel position.
Firstly, histogram peaks distribution (HPD) and fractional calculus are applied for image preprocessing.
Then an ELM-based defective solder joints identification is discussed in detail.
Finally, moving least square regression (MLSR) algorithm is introduced for solar panel position determination.
Experimental results and comparisons show that the proposed ELM and MLSR based inspection method is efficient not only in detection accuracy but also in processing speed.
American Psychological Association (APA)
Liu, Heng& Zhang, Caihong& Huang, Dongdong. 2017. Extreme Learning Machine and Moving Least Square Regression Based Solar Panel Vision Inspection. Journal of Electrical and Computer Engineering،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1175369
Modern Language Association (MLA)
Liu, Heng…[et al.]. Extreme Learning Machine and Moving Least Square Regression Based Solar Panel Vision Inspection. Journal of Electrical and Computer Engineering No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1175369
American Medical Association (AMA)
Liu, Heng& Zhang, Caihong& Huang, Dongdong. Extreme Learning Machine and Moving Least Square Regression Based Solar Panel Vision Inspection. Journal of Electrical and Computer Engineering. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1175369
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175369