Sökning: onr:"swepub:oai:lup.lub.lu.se:c20a139d-4d72-4337-b585-60437551b21d" >
Analyzing Complex S...
Analyzing Complex Systems with Cascades Using Continuous-Time Bayesian Networks
-
- Bregoli, Alessandro (författare)
- University of Milano-Bicocca
-
- Rathsman, Karin (författare)
- European Spallation Source ERIC, Denmark
-
- Scutari, Marco (författare)
- IDSIA Dalle Molle Institute for Artificial Intelligence
-
visa fler...
-
- Stella, Fabio (författare)
- University of Milano-Bicocca
-
- Mogensen, Søren Wengel (författare)
- Lund University,Lunds universitet,Institutionen för reglerteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Automatic Control,Departments at LTH,Faculty of Engineering, LTH
-
Artikis, Alexander (redaktör/utgivare)
-
Bruse, Florian (redaktör/utgivare)
-
Hunsberger, Luke (redaktör/utgivare)
-
visa färre...
-
(creator_code:org_t)
- 2023
- 2023
- Engelska.
-
Ingår i: 30th International Symposium on Temporal Representation and Reasoning, TIME 2023. - 9783959772983
- Relaterad länk:
-
http://dx.doi.org/10... (free)
-
visa fler...
-
https://lup.lub.lu.s...
-
https://doi.org/10.4...
-
visa färre...
Abstract
Ämnesord
Stäng
- Interacting systems of events may exhibit cascading behavior where events tend to be temporally clustered. While the cascades themselves may be obvious from the data, it is important to understand which states of the system trigger them. For this purpose, we propose a modeling framework based on continuous-time Bayesian networks (CTBNs) to analyze cascading behavior in complex systems. This framework allows us to describe how events propagate through the system and to identify likely sentry states, that is, system states that may lead to imminent cascading behavior. Moreover, CTBNs have a simple graphical representation and provide interpretable outputs, both of which are important when communicating with domain experts. We also develop new methods for knowledge extraction from CTBNs and we apply the proposed methodology to a data set of alarms in a large industrial system.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Nyckelord
- alarm network
- continuous-time Bayesian network
- event cascade
- event model
- graphical models
Publikations- och innehållstyp
- kon (ämneskategori)
- ref (ämneskategori)
Hitta via bibliotek
Till lärosätets databas