Kaikki kirjat 35 % alennuksella koodilla: BOOKS

  • check Yli 10 miljoonaa kirjaa
  • check Uutuuksia joka päivä
  • check Yli 1 miljoona asiakasta luottaa meihin
  • check Hyvät hinnat ja alennukset
  • check Toimitus koko Eurooppaan

Capturing Connectivity and Causality in Complex Industrial Processes - Ping Duan,Tongwen Chen,Sirish L. Shah,Fan Yang

englanti
2014-04-10
60,05 € 92,38 €

-35% koodilla BOOKS

Toimittajalla varastossa

Toimitus 12-18 arkipäivässä

30 päivän palautusoikeus

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 d ... Täydellinen kuvaus

Saatat myös pitää

Kuvaus

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.

Lisätietoja

Kirjoittaja Ping Duan, Tongwen Chen, Sirish L. Shah, Fan Yang
Julkaisija Springer Nature Switzerland
Series SpringerBriefs in Applied Sciences and Technology
Julkaisuvuosi 2014
Kannen tyyppi Pehmeäkantinen
EAN 9783319053790
Kirjoita oma arvostelusi
Arvostelet: Capturing Connectivity and Causality in Complex Industrial Processes
Arvostelusi:

Goodreads-arvostelut

60,05 € 92,38 €