Capturing connectivity and causality in complex industrial processes:
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham [u.a.]
Springer
2014
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| Schriftenreihe: | SpringerBriefs in applied sciences and technology
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| Schlagworte: | |
| Online-Zugang: | Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9783319053806 9783319053790 |
| DOI: | 10.1007/978-3-319-05380-6 |
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Datensatz im Suchindex
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| adam_text | CAPTURING CONNECTIVITY AND CAUSALITY IN COMPLEX INDUSTRIAL PROCESSES
/ YANG, FAN
: 2014
TABLE OF CONTENTS / INHALTSVERZEICHNIS
INTRODUCTION
EXAMPLES OF APPLICATIONS FOR CONNECTIVITY AND CAUSALITY ANALYSIS
DESCRIPTION OF CONNECTIVITY AND CAUSALITY
CAPTURING CONNECTIVITY AND CAUSALITY FROM PROCESS KNOWLEDGE
CAPTURING CAUSALITY FROM PROCESS DATA
CASE STUDIES
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
CAPTURING CONNECTIVITY AND CAUSALITY IN COMPLEX INDUSTRIAL PROCESSES
/ YANG, FAN
: 2014
ABSTRACT / INHALTSTEXT
THIS BRIEF REVIEWS CONCEPTS OF INTER-RELATIONSHIP IN MODERN INDUSTRIAL
PROCESSES, BIOLOGICAL AND SOCIAL SYSTEMS. SPECIFICALLY IDEAS OF
CONNECTIVITY AND CAUSALITY WITHIN AND BETWEEN ELEMENTS OF A COMPLEX
SYSTEM ARE TREATED; THESE IDEAS ARE OF GREAT IMPORTANCE IN ANALYSING AND
INFLUENCING MECHANISMS, STRUCTURAL PROPERTIES AND THEIR DYNAMIC
BEHAVIOUR, ESPECIALLY FOR FAULT DIAGNOSIS AND HAZARD ANALYSIS. FAULT
DETECTION AND ISOLATION FOR INDUSTRIAL PROCESSES BEING CONCERNED WITH
ROOT CAUSES AND FAULT PROPAGATION, THE BRIEF SHOWS THAT, PROCESS
CONNECTIVITY AND CAUSALITY INFORMATION CAN BE CAPTURED IN TWO WAYS:
FROM PROCESS KNOWLEDGE: STRUCTURAL MODELING BASED ON
FIRST-PRINCIPLES STRUCTURAL MODELS CAN BE MERGED WITH
ADJACENCY/REACHABILITY MATRICES OR TOPOLOGY MODELS OBTAINED FROM PROCESS
FLOW-SHEETS DESCRIBED IN STANDARD FORMATS; AND FROM PROCESS
DATA: CROSS-CORRELATION ANALYSIS, GRANGER CAUSALITY AND ITS EXTENSIONS,
FREQUENCY DOMAIN METHODS, INFORMATION-THEORETICAL METHODS, AND BAYESIAN
NETWORKS CAN BE USED TO IDENTIFY PAIR-WISE RELATIONSHIPS AND NETWORK
TOPOLOGY. THESE METHODS RELY ON THE NOTION OF INFORMATION FUSION WHEREBY
PROCESS OPERATING DATA IS COMBINED WITH QUALITATIVE PROCESS KNOWLEDGE,
TO GIVE A HOLISTIC PICTURE OF THE SYSTEM
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
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| spellingShingle | Yang, Fan 1981- Capturing connectivity and causality in complex industrial processes Ingenieurwissenschaften Chemical engineering Physics Engineering Ingenieurwissenschaften (DE-588)4137304-2 gnd |
| subject_GND | (DE-588)4137304-2 |
| title | Capturing connectivity and causality in complex industrial processes |
| title_auth | Capturing connectivity and causality in complex industrial processes |
| title_exact_search | Capturing connectivity and causality in complex industrial processes |
| title_full | Capturing connectivity and causality in complex industrial processes Fan Yang ... |
| title_fullStr | Capturing connectivity and causality in complex industrial processes Fan Yang ... |
| title_full_unstemmed | Capturing connectivity and causality in complex industrial processes Fan Yang ... |
| title_short | Capturing connectivity and causality in complex industrial processes |
| title_sort | capturing connectivity and causality in complex industrial processes |
| topic | Ingenieurwissenschaften Chemical engineering Physics Engineering Ingenieurwissenschaften (DE-588)4137304-2 gnd |
| topic_facet | Ingenieurwissenschaften Chemical engineering Physics Engineering |
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