Student’s-<i>t</i> Mixture Regression-Based Robust Soft Sensor Development for Multimode Industrial Processes

Student’s-<i>t</i> Mixture Regression-Based Robust Soft Sensor Development for Multimode Industrial Processes

Because of multiple manufacturing phases or operating conditions, a great many industrial processes work with multiple modes. In addition, it is inevitable that some measurements of industrial variables obtained through hardware sensors are incorrectly observed, recorded or imported into databases,...

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Bibliographic Details
Main Authors:	Jingbo Wang, Weiming Shao, Zhihuan Song
Format:	Article
Language:	English
Published:	MDPI AG 2018-11-01
Series:	Sensors
Subjects:	robust soft sensor multimode process Student’s-<i>t</i> mixture regression Gaussian mixture model expectation maximization
Online Access:	https://www.mdpi.com/1424-8220/18/11/3968

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