Extreme Learning Machine and Moving Least Square Regression Based Solar Panel Vision Inspection
المؤلفون المشاركون
Liu, Heng
Zhang, Caihong
Huang, Dongdong
المصدر
Journal of Electrical and Computer Engineering
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-05-16
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1175369
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر