Missing Data Probability Estimation-Based Bayesian Outlier Detection for Plant-Wide Processes with Multisampling Rates

Traditional outlier detection methods assume that the sampling time and interval are the same. However, for plant-wide processes, since the signal change rate of different devices may vary by several orders of magnitude, the measured data in real-world systems usually have different sampling rates,...

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Main Authors: Ying Tian, Zhong Yin, Miao Huang
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2018-10-01
Serier:Symmetry
Fag:
outlier detection
missing data estimation
Bayesian
expectation–maximization (EM)
multisampling rates
plant-wide process
Online adgang:http://www.mdpi.com/2073-8994/10/10/475
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