Technische Daten
Erscheinungsdatum
10.04.2014
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
SpringerBriefs in Applied Sciences and Technology
Autor
Fan Yang, Ping Duan, Sirish L. Shah, Tongwen Chen
Autorenporträt
The authors jointly have extensive research experience in modeling, control, and monitoring of complex industrial processes. In particular, they have worked on industrial projects in oil and petrochemical sectors to address safety, alarm, and fault diagnosis issues from operating plants. Moreover, they have conducted research in the related areas on capturing connectivity and causality using process data and various forms of process knowledge; their research results have been published in international journals, benefiting the automation community. Realizing the importance of capturing connectivity and causality in real-world problems, and summarizing their knowledge and understanding on various approaches currently available, the authors have made a great effort in presenting this brief as an introduction, a survey, and also a tutorial on this seasoned topic.
Schlagwörter
Causal Relationship, Complex Systems, Data Mining, Fault Diagnosis, Process Connectivity, Process Knowledge, System Topology, complexity
Thema-Inhalt
TBJ - Mathematik für Ingenieure
GPFC - Kybernetik und Systemtheorie
PBWH - Mathematische Modellierung
TJFM - Regelungstechnik
TDC - Industrielle Chemie und Chemietechnologie
PBT - Wahrscheinlichkeitsrechnung und Statistik
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