Robust Soft Sensor with Deep Kernel Learning for Quality Prediction in Rubber Mixing Processes

Robust Soft Sensor with Deep Kernel Learning for Quality Prediction in Rubber Mixing Processes

Although several data-driven soft sensors are available, online reliable prediction of the Mooney viscosity in industrial rubber mixing processes is still a challenging task. A robust semi-supervised soft sensor, called ensemble deep correntropy kernel regression (EDCKR), is proposed. It integrates...

Full description

Bibliographic Details
Main Authors: Shuihua Zheng, Kaixin Liu, Yili Xu, Hao Chen, Xuelei Zhang, Yi Liu
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sensors
Subjects:
soft sensor
deep learning
semi-supervised learning
robust estimator
ensemble strategy
rubber mixing process
mooney viscosity
Online Access:https://www.mdpi.com/1424-8220/20/3/695

Internet

https://www.mdpi.com/1424-8220/20/3/695

Similar Items