Unsupervised Representation Learning in Multivariate Time Series with Simulated Data

Thabang Lebese; Cécile Mattrand; David St Clair; Jean‐Marc Bourinet

doi:10.1109/phm58589.2023.00049

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JOURNAL ARTICLE

Unsupervised Representation Learning in Multivariate Time Series with Simulated Data

Thabang Lebese Cécile Mattrand David St Clair Jean‐Marc Bourinet

Year: 2023 Vol: 32 Pages: 217-225

DOI: 10.1109/phm58589.2023.00049

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Abstract

International audience

Keywords:

Computer science Downtime Multivariate statistics Machine learning Cluster analysis Artificial intelligence Data mining Feature learning Representation (politics) Reliability (semiconductor) Unsupervised learning Time series Coding (social sciences)

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Topics

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Unsupervised Representation Learning in Multivariate Time Series with Simulated Data

Abstract

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Citation History

Topics

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