Buch, Englisch, 153 Seiten, Format (B × H): 148 mm x 210 mm, Gewicht: 2354 g
ISBN: 978-3-658-15970-2
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Verfahrenstechnik, Chemieingenieurwesen
- Mathematik | Informatik Mathematik Mathematik Interdisziplinär Systemtheorie
- Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
- Mathematik | Informatik Mathematik Stochastik
- Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
Weitere Infos & Material
Assessing the performance of T2 and Q fault detection statistics.- Proposing a new performance evaluation index called expected detection delay (EDD).- Assessing the performance of different PM-FD methods using EDD when applied to detecting different types of faults.- Assessing the state-space-based PM-FD methods when applied to a real hot strip mill process.
