The Online Identification of Single Variable Outliers Based on a Three-Sliding Window-Bayesian Method

Yun Lian Liu; Tie Bin Wu; Wen Li; Yun Cheng; Tao Yun Zhou

doi:10.4028/www.scientific.net/AMM.602-605.1960

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605The Online Identification of Single Variable...

The Online Identification of Single Variable Outliers Based on a Three-Sliding Window-Bayesian Method

Abstract:

A method for online identifying and processing single variable outliers was proposed based on a three-sliding window-Bayesian method. Generally, the method utilized the characteristic that the flow rate and temperature in metallurgical production do not change suddenly. Based on this characteristic, the research accurately identified outliers and variation of normal working points by analyzing the change of Bayesian posterior probability and conditional probability of the detection data in the three sliding windows.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

1960-1963

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.1960

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Online since:

August 2014

Authors:

Yun Lian Liu, Tie Bin Wu*, Wen Li, Yun Cheng, Tao Yun Zhou

Keywords:

Bayesian, Outlier, Sliding Window

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