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Lithium-ion battery anomaly detection with variational autoencoder based on feature representation learning
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In
Journal of energy storage 152(Part A), Seiten/Artikel-Nr.:120545
2026
Online
DOI: 10.1016/j.est.2026.120545
DOI: 10.18154/RWTH-2026-01351
URL: https://publications.rwth-aachen.de/record/1027952/files/1027952.pdf
Einrichtungen
Projekte
- OAPKF - Open-Access-Publikation mit Unterstützung der RWTH Aachen University (021000-OAPKF) (021000-OAPKF)
- DFG project G:(GEPRIS)532171154 - Open Access Publikationskosten / 2024-2026 / RWTH Aachen University (532171154) (532171154)
Thematische Einordnung (Klassifikation)
DDC: 333.7
OpenAccess: 
PDF
Dokumenttyp
Journal Article
Format
online, print
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105027734122
WOS Core Collection: WOS:001677040400007
Interne Identnummern
RWTH-2026-01351
Datensatz-ID: 1027952
Beteiligte Länder
Germany
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; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Essential Science Indicators ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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The record appears in these collections: |
| Typ | Amount | VAT | Currency | Share | Status | Cost centre |
| Hybrid-OA | 2652.00 | 185.64 | EUR | 96.82 % | (DEAL) | 021000-412310 |
| Other | 87.00 | 6.09 | EUR | 3.18 % | (DEAL) | 021000-412310 |
| Sum | 2739.00 | 191.73 | EUR | |||
| Total | 2930.73 |
PDF