با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
دسته بندی:
یادگیری عمیق - deep learning
سال انتشار:
2019
عنوان انگلیسی مقاله:
A survey on Deep Learning based bearing fault diagnosis
ترجمه فارسی عنوان مقاله:
مروری بر تشخیص تحمل خطا مبتنی بر یادگیری عمیق
منبع:
Sciencedirect - Elsevier - Neurocomputing, 335 (2019) 327-335: doi:10:1016/j:neucom:2018:06:078
نویسنده:
Duy-Tang Hoang a , Hee-Jun Kang b , ∗
چکیده انگلیسی:
Nowadays, Deep Learning is the most attractive research trend in the area of Machine Learning. With the ability of learning features from raw data by deep architectures with many layers of non-linear data pro- cessing units, Deep Learning has become a promising tool for intelligent bearing fault diagnosis. This survey paper intends to provide a systematic review of Deep Learning based bearing fault diagnosis. The three popular Deep Learning algorithms for bearing fault diagnosis including Autoencoder, Restricted Boltzmann Machine, and Convolutional Neural Network are briefly introduced. And their applications are reviewed through publications and research works on the area of bearing fault diagnosis. Further appli- cations and challenges in this research area are also discussed
Keywords: Bearing fault diagnosis | Deep Learning
قیمت: رایگان
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