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...

Descripción completa

Detalles Bibliográficos
Autores principales: Hu, Di, Zhang, Chen, Yang, Tao, Chen, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663224/
https://www.ncbi.nlm.nih.gov/pubmed/33138122
http://dx.doi.org/10.3390/s20216164

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663224/
https://www.ncbi.nlm.nih.gov/pubmed/33138122
http://dx.doi.org/10.3390/s20216164

Ejemplares similares