Logo - springer
Slogan - springer

Physics - Complexity | Capturing Connectivity and Causality in Complex Industrial Processes

Capturing Connectivity and Causality in Complex Industrial Processes

Yang, F., Duan, P., Shah, S.L., Chen, T.

2014, XIII, 91 p. 54 illus., 24 illus. in color.

Available Formats:
eBook
Information

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.

 
$39.99

(net) price for USA

ISBN 978-3-319-05380-6

digitally watermarked, no DRM

Included Format: PDF and EPUB

download immediately after purchase


learn more about Springer eBooks

add to marked items

Softcover
Information

Softcover (also known as softback) version.

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$54.99

(net) price for USA

ISBN 978-3-319-05379-0

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

  • Provides an exhaustive overview of concepts and descriptions of connectivity and causality in complex processes
  • Explains how to obtain an acceptable process topology from the fusion of different information resources
  • Tutorial style deepens understanding of classical and recent research results with existing and potential applications

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.

Content Level » Research

Keywords » Causal Relationship - Complex Systems - Data Mining - Fault Diagnosis - Process Connectivity - Process Knowledge - System Topology

Related subjects » Complexity - Control Engineering - Industrial Chemistry and Chemical Engineering - Mathematics - Physical & Information Science

Table of contents / Preface / Sample pages 

Popular Content within this publication 

 

Articles

Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Complexity.