کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
381638 | 1437515 | 2006 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Fuzzy transition probability: A new method for monitoring progressive faults. Part 2: Application examples
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
This is the second part of our study on condition monitoring using fuzzy transition probability (FTP). In the first paper, the theory of FTP is presented. In this paper, in order to validate the theory, two practical examples are given. The first one is a material tensile strength test and the second one was tool condition monitoring in boring. The experiment results indicate that the new method is effective. It outperforms the popular artificial neural network method (feed-forward network with back propagation training) by as much as 9%.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 19, Issue 2, March 2006, Pages 145–155
Journal: Engineering Applications of Artificial Intelligence - Volume 19, Issue 2, March 2006, Pages 145–155
نویسندگان
R. Du, K. Yeung,