دانلود مقاله انگلیسی رایگان:PCA موازی توزیع شده برای مدل سازی و نظارت از پروسه های بزرگ صنعتی با داده های بزرگ - 2017

• Distributed Parallel PCA for Modeling and Monitoring of Large-scale Plant-wide Processes with Big Data
  

  سال انتشار:

  2017

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  عنوان انگلیسی مقاله:

  Distributed Parallel PCA for Modeling and Monitoring of Large-scale Plant-wide Processes with Big Data

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  ترجمه فارسی عنوان مقاله:

  PCA موازی توزیع شده برای مدل سازی و نظارت از پروسه های بزرگ صنعتی با داده های بزرگ

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  منبع:

  IEEE - This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TII.2017.2658732, IEEE

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  نویسنده:

  Jinlin Zhu, Zhiqiang Ge, Zhihuan Song

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  چکیده انگلیسی:

  In order to deal with the modeling and monitoring issue of large-scale industrial processes with big data, a distributed and parallel designed principal component analysis approach is proposed. To handle the high-dimensional process variables, the large-scale process is first decomposed into distributed blocks with a priori process knowledge. Afterwards, in order to solve the modeling issue with large-scale data chunks in each block, a distributed and parallel data processing strategy is proposed based on the framework of MapReduce and then principal components are further extracted for each distributed block. With all these steps, statistical modeling of large-scale processes with big data can be established. Finally, a systematic fault detection and isolation scheme is designed so that the whole large-scale process can be hierarchically monitored from the plant-wide level, unit block level and variable level. The effectiveness of the proposed method is evaluated through the Tennessee Eastman benchmark process.
  Index Terms: Distributed and parallel principal component analysis (dpPCA) | MapReduce | Big data | Bayesian fusion | Hierarchical process monitoring

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  سطح: متوسط

  تعداد صفحات فایل pdf انگلیسی: 9

  حجم فایل: 244 کیلوبایت

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  قیمت: رایگان

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  توضیحات اضافی:

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  سفارش ترجمه مقاله

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  کلمات کلیدی:
  Distributed and parallel principal component analysis (dpPCA) , MapReduce , Big data , Bayesian fusion , Hierarchical process monitoring , تجزیه و تحلیل مولفه اصلی توزیع شده و موازی (dpPCA) , MapReduce , داده های بزرگ , فیوژن بیزی , نظارت بر روند سلسله مراتبی

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  بازدید:[2] بازدید کننده:[2] نظرات : [0]

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