دانلود مقاله انگلیسی رایگان:تجزیه و تحلیل داده های صنعتی بزرگ برای پیش بینی عمر مفید باقی مانده بر اساس یادگیری عمیق - 2018
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دانلود مقاله انگلیسی داده های بزرگ رایگان
  • Industrial Big Data Analytics for Prediction of Remaining Useful Life Based on Deep Learning Industrial Big Data Analytics for Prediction of Remaining Useful Life Based on Deep Learning
    Industrial Big Data Analytics for Prediction of Remaining Useful Life Based on Deep Learning

    سال انتشار:

    2018


    عنوان انگلیسی مقاله:

    Industrial Big Data Analytics for Prediction of Remaining Useful Life Based on Deep Learning


    ترجمه فارسی عنوان مقاله:

    تجزیه و تحلیل داده های صنعتی بزرگ برای پیش بینی عمر مفید باقی مانده بر اساس یادگیری عمیق


    منبع:

    IEEE - Received January 28, 2018, accepted February 22, 2018, date of publication February 27, 2018, date of current version April 18, 2018:


    نویسنده:

    HEHUA YAN1, JIAFU WAN2, CHUNHUA ZHANG 2, SHENGLONG TANG2, QINGSONG HUA 3, AND ZHONGREN WANG4, (Member, IEEE)


    چکیده انگلیسی:

    Due to the recent development of cyber-physical systems, big data, cloud computing, and industrial wireless networks, a new era of industrial big data is introduced. Deep learning, which brought a revolutionary change in computer vision, natural language processing, and a variety of other applications, has significant potential for solutions providing in sophisticated industrial applications. In this paper, a concept of device electrocardiogram (DECG) is presented, and an algorithm based on deep denoising autoencoder (DDA) and regression operation is proposed for the prediction of the remaining useful life of industrial equipment. First, the concept of electrocardiogram is explained. Then, a problem statement based on manufacturing scenario is presented. Subsequently, the architecture of the proposed algorithm called integrated DDA and the algorithm workflow are provided. Moreover, DECG is compared with traditional factory information system, and the feasibility and effectiveness of the proposed algorithm are validated experimentally. The proposed concept and algorithm combine typical industrial scenario and advance artificial intelligence, which has great potential to accelerate the implementation of industry 4.0.
    INDEX TERMS : Cyber-physical systems, deep learning, device electrocardiogram, industrial big data,industry 4.0


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 8
    حجم فایل: 3491 کیلوبایت

    قیمت: رایگان


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