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Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software

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Performance Assessment for Process Monitoring and Fault Detection Methods (Paperback, 1st ed. 2016) Loot Price: R1,889
Discovery Miles 18 890
Performance Assessment for Process Monitoring and Fault Detection Methods (Paperback, 1st ed. 2016): Kai Zhang

Performance Assessment for Process Monitoring and Fault Detection Methods (Paperback, 1st ed. 2016)

Kai Zhang

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Loot Price R1,889 Discovery Miles 18 890 | Repayment Terms: R177 pm x 12*

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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.

General

Imprint: Springer Vieweg
Country of origin: Germany
Release date: October 2016
First published: 2016
Authors: Kai Zhang
Dimensions: 210 x 148 x 10mm (L x W x T)
Format: Paperback
Pages: 153
Edition: 1st ed. 2016
ISBN-13: 978-3-658-15970-2
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
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LSN: 3-658-15970-7
Barcode: 9783658159702

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