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Cited by 131Time Series Analysis and ForecastingFault Detection and Control SystemsMachine Fault Diagnosis Techniques

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Contrastive learning based self-supervised time-series analysis

Pöppelbaum, Johannes, Chadha, Gavneet Singh, Schwung, Andreas·2022·Applied Soft Computing
DOI 10.1016/j.asoc.2021.108397
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Metadata

Authors
Pöppelbaum, J., Chadha, G. S., & Schwung, A.
Affiliations
South Westphalia University of Applied Sciences (DE)
Corresponding author
Pöppelbaum, Johannes
ORCID
Venue
Applied Soft Computing
Publisher
Elsevier BV
Published
2022-03
Volume
117
Pages
108397
ISSN
1568-4946 (ISSN-L)
DOI
10.1016/j.asoc.2021.108397
OpenAlex
W4206136329
Cited by
131
References
84
Citations by year
2026: 26 · 2025: 41 · 2024: 31 · 2023: 28 · 2022: 5
FWCI
12.11
Type
journal article
Language
en
Open access
closed
Licence
Locations
Applied Soft Computing (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Signal Processing › Time Series Analysis and Forecasting
  • Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
  • Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
Keywords
contrastive learning, self-supervised learning, time series analysis, SimCLR, data augmentation, fault classification, Tennessee Eastman process, partially labeled data, time series forecasting

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CoChat. (2026). Citation check: Contrastive learning based self-supervised time-series analysis. https://app.cochat.ai/papers/10.1016/j.asoc.2021.108397
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Pöppelbaum, J., Chadha, G. S., & Schwung, A. (2022). Contrastive learning based self-supervised time-series analysis. Applied Soft Computing. https://doi.org/10.1016/j.asoc.2021.108397