کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10417381 | 902360 | 2014 | 31 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Assessment of resistance spot welding quality based on ultrasonic testing and tree-based techniques
ترجمه فارسی عنوان
بررسی کیفیت دقیق جوش نقطه ای بر اساس آزمایش های اولتراسونیک و تکنیک های مبتنی بر درخت
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی صنعتی و تولید
چکیده انگلیسی
Classification and regression tree (CART) and random forest techniques were proposed as pattern recognition tools for classification of ultrasonic oscillograms of resistance spot welding (RSW) joints. The results showed that CART models produced an acceptable error rate with high interpretability. These features may be used to understand and control the decision processes, instruct other human operators, compare margins of safety or modify them depending on the criticality of the industrial process. Compared with CART trees, random forests reduced the error rate at the cost of decreasing decision interpretability. The use of the agreement of the forest was proposed as a measure to reduce the workload of human operators, who would only have to focus on the analysis of ultrasonic oscillograms that are difficult to interpret.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Materials Processing Technology - Volume 214, Issue 11, November 2014, Pages 2478-2487
Journal: Journal of Materials Processing Technology - Volume 214, Issue 11, November 2014, Pages 2478-2487
نویسندگان
Ãscar MartÃn, MarÃa Pereda, José Ignacio Santos, José Manuel Galán,