Quality Level Assessment for Imperfections in GMAW
- Author
- SENTHIL KUMAR, G1 ; NATARAJAN, U2 ; VEERARAJAN, T3 ; ANANTHAN, S. S4
[1] Dept. of Mech., Velammal College of Eng. & Tech., Madurai, Tamil Nadu, India
[2] Dept. of Mech., A. C. College of Eng. & Tech., Karaikudi, Tamil Nadu, India
[3] Dept. of Mathematics, Velammal College of Eng. & Tech., Madurai, Tamil Nadu, India
[4] Welding Research Institute, BHEL, Tiruchirapalli, India - Source
Welding journal. 2014, Vol 93, Num 3 ; S85-S97 ; ref : 23 ref
- CODEN
- WEJUA3
- ISSN
- 0043-2296
- Scientific domain
- Metallurgy, welding
- Publisher
- American Welding Society, Miami, FL
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- Backpropagation Neural Network (BPN) Chi-Square Test Differential Evolutionary Algorithm (DEA) Gas Metal Arc Welding (GMAW) Gaussian Distribution Vision System Welding Defects
- Keyword (fr)
- Défaut Intelligence artificielle Qualité Réseau neuronal Soudage arc Soudage sous gaz fil fusible
- Keyword (en)
- Defect Artificial intelligence Quality Neural network Arc welding GMA welding
- Keyword (es)
- Defecto Inteligencia artificial Calidad Red neuronal Soldadura arco
- Keyword (de)
- Fehler Qualitaet Lichtbogenschweissen Metall Schutzgas Schweissen
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D11 Metals. Metallurgy / 001D11D Joining, thermal cutting: metallurgical aspects / 001D11D01 Welding
- Discipline
- Metals. Metallurgy
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28451416
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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