Optimize the Coverage Probability of Prediction Interval for Anomaly Detection of Sensor-Based Monitoring Series

Effective anomaly detection of sensing data is essential for identifying potential system failures. Because they require no prior knowledge or accumulated labels, and provide uncertainty presentation, the probability prediction methods (e.g., Gaussian process regression (GPR) and relevance vector ma...

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Detalles Bibliográficos
Autores principales: Pang, Jingyue, Liu, Datong, Peng, Yu, Peng, Xiyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948704/
https://www.ncbi.nlm.nih.gov/pubmed/29587372
http://dx.doi.org/10.3390/s18040967

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948704/
https://www.ncbi.nlm.nih.gov/pubmed/29587372
http://dx.doi.org/10.3390/s18040967

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