Continual Learning for anomaly detection on turbomachinery prototypes - A real application-Reference-Cited by-同舟云学术

Continual Learning for anomaly detection on turbomachinery prototypes - A real application

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Congress on Evolutionary Computation (CEC)
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Author:

Gori Valentina¹,Veneri Giacomo¹,Ballarini Valeria²

Affiliation:

1. TPS Artificial Intelligence - Baker Hughes, Nuovo Pignone Tecnologie,Florence,Italy

2. TPS Turbomachinery Test Laboratory - Baker Hughes, Nuovo Pignone Tecnologie,Florence,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870216/9870201/09870234.pdf?arnumber=9870234

Reference35 articles.

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2. Learning under Concept Drift: A Review

3. Rectified linear units improve restricted boltz-mann machines;nair;Proceedings of the 27th International Conference on Machine Learning (ICML-10),0

4. Long Short-Term Memory

5. Anomaly transformer: Time series anomaly detection with association discrepancy;xu;International Conference on Learning Representations,0

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1. Anomaly Detection in a Micro-CHP Using Convolutional Autoencoders and Fine Tuning for Domain Adaptation;2023 7th International Conference on System Reliability and Safety (ICSRS);2023-11-22

2. Sensor Virtualization for Anomaly Detection of Turbo-Machinery Sensors—An Industrial Application;The 9th International Conference on Time Series and Forecasting;2023-07-27