| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNISA996385711403316 |
|
|
Autore |
Davenport John <1597-1670.> |
|
|
Titolo |
A catechisme containing the chief heads of Christian religion [[electronic resource] ] : published at the desire and for the use of the Church of Christ at New-Haven / / by John Davenport ... and William Hooke . |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
London, : Printed by John Brudenell and are to be sold by John Allen ..., 1659 |
|
|
|
|
|
|
|
|
|
Descrizione fisica |
|
[2], 54 [i.e. 62] p. : ill |
|
|
|
|
|
|
Altri autori (Persone) |
|
HookeWilliam <1600 or 1601-1678.> |
|
|
|
|
|
|
Soggetti |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
With Allen's device on p. [2]. |
Advertisement on p. 2. |
Errata on p. 54. |
Reproduction of original in Thomason Collection, British Library. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
|
|
|
|
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910299715503321 |
|
|
Autore |
Yang Fan |
|
|
Titolo |
Capturing Connectivity and Causality in Complex Industrial Processes / / by Fan Yang, Ping Duan, Sirish L. Shah, Tongwen Chen |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2014.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (99 p.) |
|
|
|
|
|
|
Collana |
|
SpringerBriefs in Applied Sciences and Technology, , 2191-530X |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Computational complexity |
Mathematical models |
Automatic control |
Chemical engineering |
Statistics |
Complexity |
Mathematical Modeling and Industrial Mathematics |
Control and Systems Theory |
Industrial Chemistry/Chemical Engineering |
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record. |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references. |
|
|
|
|
|
|
Nota di contenuto |
|
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. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
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. |
|
|
|
|
|
| |