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Anomaly Detection of Power Plant Equipment Using Long Short-Term Memory Based Autoencoder Neural Network

Anomaly detection is of great significance in condition-based maintenance of power plant equipment. The conventional fixed threshold detection method is not able to perform early detection of equipment abnormalities. In this study, a general anomaly detection framework based on a long short-term mem...

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Dades bibliogràfiques
Publicat a:Sensors (Basel)
Autors principals: Hu, Di, Zhang, Chen, Yang, Tao, Chen, Gang
Format: Artigo
Idioma:Inglês
Publicat: MDPI 2020
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7663224/
https://ncbi.nlm.nih.gov/pubmed/33138122
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20216164
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