کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
386479 | 660884 | 2010 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Car assembly line fault diagnosis based on robust wavelet SVC and PSO
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Aiming at some hybrid noises from complex fault diagnosis system, a robust loss function is designed to penalize hybrid noises, a wavelet kernel function is constructed on basis of wavelet base function, and then this paper proposes robust wavelet v-support vector classifier machine (RWv-SVC). To seek the optimal parameter of RWv-SVC, particle swarm optimization (PSO) is proposed. The results of application in fault diagnosis of car assembly line show the hybrid diagnosis model based on RWv-SVC and PSO is effective and feasible, the comparison between the method proposed in this paper and other ones is also given, which proves this method is better than v-SVC and Wv-SVC.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 37, Issue 7, July 2010, Pages 5423–5429
Journal: Expert Systems with Applications - Volume 37, Issue 7, July 2010, Pages 5423–5429
نویسندگان
Qi Wu,