دانلود مقاله ISI انگلیسی شماره 46704
عنوان فارسی مقاله

تشخیص سلامت ساختار فلز هیدرولیک بر مبنای فناوری داده کاوی

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
46704 2015 6 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Hydraulic metal structure health diagnosis based on data mining technology
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Water Science and Engineering, Volume 8, Issue 2, April 2015, Pages 158–163

کلمات کلیدی
ساختار فلز هیدرولیک - تشخیص سلامت - فناوری داده کاوی - مدل خوشه - قانون رابطه
پیش نمایش مقاله
پیش نمایش مقاله تشخیص سلامت ساختار فلز هیدرولیک بر مبنای فناوری داده کاوی

چکیده انگلیسی

In conjunction with association rules for data mining, the connections between testing indices and strong and weak association rules were determined, and new derivative rules were obtained by further reasoning. Association rules were used to analyze correlation and check consistency between indices. This study shows that the judgment obtained by weak association rules or non-association rules is more accurate and more credible than that obtained by strong association rules. When the testing grades of two indices in the weak association rules are inconsistent, the testing grades of indices are more likely to be erroneous, and the mistakes are often caused by human factors. Clustering data mining technology was used to analyze the reliability of a diagnosis, or to perform health diagnosis directly. Analysis showed that the clustering results are related to the indices selected, and that if the indices selected are more significant, the characteristics of clustering results are also more significant, and the analysis or diagnosis is more credible. The indices and diagnosis analysis function produced by this study provide a necessary theoretical foundation and new ideas for the development of hydraulic metal structure health diagnosis technology.

خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.