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{ "item_title" : "Performance Assessment for Process Monitoring and Fault Detection Methods", "item_author" : [" Kai Zhang "], "item_description" : "The objective of Kai Zhang and his research is to assess the existing process monitoring and fault detection (PM-FD) methods. His aim is to provide suggestions and guidance for choosing appropriate PM-FD methods, because the performance assessment study for PM-FD methods has become an area of interest in both academics and industry. The author first compares basic FD statistics, and then assesses different PM-FD methods to monitor the key performance indicators of static processes, steady-state dynamic processes and general dynamic processes including transient states. He validates the theoretical developments using both benchmark and real industrial processes.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/65/815/970/3658159707_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Performance Assessment for Process Monitoring and Fault Detection Methods|Kai Zhang

Performance Assessment for Process Monitoring and Fault Detection Methods

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Overview

The objective of Kai Zhang and his research is to assess the existing process monitoring and fault detection (PM-FD) methods. His aim is to provide suggestions and guidance for choosing appropriate PM-FD methods, because the performance assessment study for PM-FD methods has become an area of interest in both academics and industry. The author first compares basic FD statistics, and then assesses different PM-FD methods to monitor the key performance indicators of static processes, steady-state dynamic processes and general dynamic processes including transient states. He validates the theoretical developments using both benchmark and real industrial processes.

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Details

  • ISBN-13: 9783658159702
  • ISBN-10: 3658159707
  • Publisher: Springer Vieweg
  • Publish Date: October 2016
  • Dimensions: 8.27 x 5.83 x 0.38 inches
  • Shipping Weight: 0.48 pounds
  • Page Count: 153

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