Search: L773:0925 2312 OR L773:1872 8286
> (2020-2024) >
Mondrian conformal ...
Mondrian conformal anomaly detection for fault sequence identification in heterogeneous fleets
-
- Farouq, Shiraz, 1980- (author)
- Högskolan i Halmstad,Halmstad Embedded and Intelligent Systems Research (EIS)
-
- Byttner, Stefan, 1975- (author)
- Högskolan i Halmstad,CAISR Centrum för tillämpade intelligenta system (IS-lab)
-
- Bouguelia, Mohamed-Rafik, 1987- (author)
- Högskolan i Halmstad,CAISR Centrum för tillämpade intelligenta system (IS-lab)
-
show more...
-
- Gadd, Henrik, 1967- (author)
- Högskolan i Halmstad,Rydberglaboratoriet för tillämpad naturvetenskap (RLAS)
-
show less...
-
(creator_code:org_t)
- Amsterdam : Elsevier, 2021
- 2021
- English.
-
In: Neurocomputing. - Amsterdam : Elsevier. - 0925-2312 .- 1872-8286. ; 462, s. 591-606
- Related links:
-
https://urn.kb.se/re...
-
show more...
-
https://doi.org/10.1...
-
show less...
Abstract
Subject headings
Close
- We considered the case of monitoring a large fleet where heterogeneity in the operational behavior among its constituent units (i.e., systems or machines) is non-negligible, and no labeled data is available. Each unit in the fleet, referred to as a target, is tracked by its sub-fleet. A conformal sub-fleet (CSF) is a set of units that act as a proxy for the normal operational behavior of a target unit by relying on the Mondrian conformal anomaly detection framework. Two approaches, the k-nearest neighbors and conformal clustering, were investigated for constructing such a sub-fleet by formulating a stability criterion. Moreover, it is important to discover the sub-sequence of events that describes an anomalous behavior in a target unit. Hence, we proposed to extract such sub-sequences for further investigation without pre-specifying their length. We refer to it as a conformal anomaly sequence (CAS). Furthermore, different nonconformity measures were evaluated for their efficiency, i.e., their ability to detect anomalous behavior in a target unit, based on the length of the observed CAS and the S-criterion value. The CSF approach was evaluated in the context of monitoring district heating substations. Anomalous behavior sub-sequences were corroborated with the domain expert leading to the conclusion that the proposed approach has the potential to be useful for both diagnostic and knowledge extraction purposes, especially in domains where labeled data is not available or hard to obtain. © 2021
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- Conformal anomaly detection
- Conformal anomaly sequence (CAS)
- District heating
- Sub-fleet based monitoring
- Substation monitoring
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
To the university's database