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Performance Assessment for Process Monitoring and Fault Detection Methods
Performance Assessment for Process Monitoring and Fault Detection Methods
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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…
  • Leidėjas:
  • ISBN-10: 3658159707
  • ISBN-13: 9783658159702
  • Formatas: 14.8 x 21 x 1 cm, minkšti viršeliai
  • Kalba: Anglų

Performance Assessment for Process Monitoring and Fault Detection Methods (el. knyga) (skaityta knyga) | knygos.lt

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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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  • Autorius: Kai Zhang
  • Leidėjas:
  • ISBN-10: 3658159707
  • ISBN-13: 9783658159702
  • Formatas: 14.8 x 21 x 1 cm, minkšti viršeliai
  • Kalba: Anglų

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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