EventDetectR – An Open-Source Event Detection System
In: CIplus, Band 9/2020
2020Bericht in Reihe / SerieOpen Access
Fakultät für Informatik und Ingenieurwissenschaften » Institut für Data Science, Engineering, and Analytics
Titel:
EventDetectR – An Open-Source Event Detection System
Autor*in:
Chandrasekaran, SowmyaTH Köln
- DHSB-ID
- THK0002508
- SCOPUS
- 57219767441
- Sonstiges
- der TH Köln zugeordnete Person
- Sonstiges
- der TH Köln zugeordnete Person
- DHSB-ID
- THK0001582
- GND
- 124999476
- ORCID
-
0000-0002-5938-5158
- SCOPUS
- 57190702501
- Sonstiges
- der TH Köln zugeordnete Person
Erscheinungsort:
Köln
Verlag:
Technische Hochschule Köln
Erscheinungsjahr:
2020
OA-Publikationsweg:
Open Access
Umfang:
22 Seiten
Sprache des Textes:
Englisch
Ressourcentyp:
Text
Access Rights:
Open Access
Peer Reviewed:
Peer Reviewed
Praxispartner*in:
Nein
Kategorie:
Forschung
Teil der Statistik:
Teil der Statistik
Abstract in Englisch:
EventDetectR: An efficient Event Detection System (EDS) capable of detecting unexpected water quality conditions. This approach uses multiple algorithms to model the relationship between various multivariate water quality signals. Then the residuals of the models were utilized in constructing the event detection algorithm, which provides a continuous measure of the probability of an event at every time step. The proposed framework was tested for water contamination events with industrial data from automated water quality sensors. The results showed that the framework is reliable with better performance and is highly suitable for event detection.