Work

Perturbation-driven data augmentation for time series anomaly detection improvement in predictive maintenance

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Big Data (BigData)

DOI: 10.1109/bigdata62323.2024.10825569

Authors: Hyeyoung Lee, Sangkyun Lee, Sungjoon Choi

Institution: Korea University

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4406496870

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Cites: 23

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Related to: 10