Capturing Connectivity and Causality in Complex Industrial Processes is popular PDF and ePub book, written by Fan Yang in 2014-04-01, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Capturing Connectivity and Causality in Complex Industrial Processes can be Read Online from any device for your convenience.
Capturing Connectivity and Causality in Complex Industrial Processes Book PDF Summary
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.
Detail Book of Capturing Connectivity and Causality in Complex Industrial Processes PDF
- Author : Fan Yang
- Release : 01 April 2014
- Publisher : Springer Science & Business Media
- ISBN : 9783319053806
- Genre : Technology & Engineering
- Total Page : 99 pages
- Language : English
- PDF File Size : 17,8 Mb
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