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

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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Bibliographic Details
Main Authors: Jingyue Pang, Datong Liu, Yu Peng, Xiyuan Peng
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Sensors
Subjects:
satellite
anomaly detection
coverage probability
prediction interval
Gaussian process regression
relevance vector machine
Online Access:http://www.mdpi.com/1424-8220/18/4/967

Internet

http://www.mdpi.com/1424-8220/18/4/967

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