EventDetectR – An Open-Source Event Detection System
In: CIplus, Vol. 9/2020
2020Report in SeriesOpen Access
Faculty of Computer Science and Engineering Science » Institut für Data Science, Engineering, and Analytics
Title:
EventDetectR – An Open-Source Event Detection System
Author:
Chandrasekaran, SowmyaTH Köln
- DHSB-ID
- THK0002508
- SCOPUS
- 57219767441
- Other
- person connected with TH Köln
- Other
- person connected with TH Köln
- DHSB-ID
- THK0001582
- GND
- 124999476
- ORCID
-
0000-0002-5938-5158
- SCOPUS
- 57190702501
- Other
- person connected with TH Köln
Place of publication:
Köln
Publisher:
Technische Hochschule Köln
Year of publication:
2020
„Publication Channel“:
Open Access
Extent:
22 Seiten
Language of text:
English
Type of resource:
Text
Access Rights:
open access
Peer Reviewed:
Peer Reviewed
Practice Partner:
No
Category:
Research
Part of statistic:
Part of statistic
Abstract in English:
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.