Capturing Connectivity and Causality in Complex Industrial Processes

• Main Authors: Yang, Fan (Author), Duan, Ping (Author), Shah, Sirish L. (Author), Chen, Tongwen (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Series: SpringerBriefs in Applied Sciences and Technology,
• Subjects: Engineering.; Chemical engineering.; Mathematical models.; Statistics.; Complexity, Computational.; Control engineering.; Complexity.; Mathematical Modeling and Industrial Mathematics.; Control.; Industrial Chemistry/Chemical Engineering.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

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,...

Table of Contents:

• 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.