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{ "item_title" : "Data-driven Methods for Fault Localization in Process Technology", "item_author" : [" Christian Kühnert "], "item_description" : "Control systems at production plants consist of a large number of process variables. When detecting abnormal behavior, these variables generate an alarm. Due to the interconnection of the plant's devices the fault can lead to an alarm flood. This again hides the original location of the causing device. In this work several data-driven approaches for root cause localization are proposed, compared and combined. All methods analyze disturbed process data for backtracking the propagation path.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/73/150/098/3731500981_b.jpg", "price_data" : { "retail_price" : "79.00", "online_price" : "79.00", "our_price" : "79.00", "club_price" : "79.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data-driven Methods for Fault Localization in Process Technology|Christian Kühnert

Data-driven Methods for Fault Localization in Process Technology

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Overview

Control systems at production plants consist of a large number of process variables. When detecting abnormal behavior, these variables generate an alarm. Due to the interconnection of the plant's devices the fault can lead to an alarm flood. This again hides the original location of the causing device. In this work several data-driven approaches for root cause localization are proposed, compared and combined. All methods analyze disturbed process data for backtracking the propagation path.

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Details

  • ISBN-13: 9783731500988
  • ISBN-10: 3731500981
  • Publisher: Karlsruher Institut Fur Technologie
  • Publish Date: May 2014
  • Dimensions: 8.27 x 5.83 x 0.48 inches
  • Shipping Weight: 0.61 pounds
  • Page Count: 226

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