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).
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Research on deep learning in the field of mechanical equipment fault diagnosis image quality
پژوهش بر روی یادگیری عمیق در زمینه کیفیت تصویر تشخیص خطای تجهیزات مکانیکی-2019 Image quality assessment (IQA) is an indispensable technique in computer vision, which is widely
applied in image classification, image clustering. With the development of deep learning, deep neural
network (DNN)-based methods have shown impressive performance. Thus, in this paper, we propose a
novel method for mechanical equipment fault diagnosis based on IQA. More specifically, we first conduct
data acquisition base on our practice. Afterwards, we leverage image processing method for removing
noise. Subsequently, we leverage CNN-based method for image classification. Finally, different mechanical
equipment images will be grouped into different categories and fault detection can be achieved.
Extensive experiments demonstrate the effectiveness and robustness of our method. Keywords: Deep learning | Mechanical equipment | Equipment maintenance | Image quality |
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