A simple approach to multivariate monitoring of production processes with non-Gaussian data-Reference-Cited by-同舟云学术

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A simple approach to multivariate monitoring of production processes with non-Gaussian data

Published:2019-10 Issue: Volume:53 Page:291-304
ISSN:0278-6125
Container-title:Journal of Manufacturing Systems
language:en
Short-container-title:Journal of Manufacturing Systems

Author:

Dong Qianqian,Kontar Raed,Li Min,Xu Gang,Xu Jinwu

Funder

State Key Laboratory of Refractories Metallurgy

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Hardware and Architecture,Software,Control and Systems Engineering

Reference28 articles.

1. Decentralized fault detection and diagnosis via sparse PCA based decomposition and maximum entropy decision fusion;Grbovic;J Process Control,2012

2. A study on the number of principal components and sensitivity of fault detection using PCA;Tamura;Comput Chem Eng,2007

3. Multidimensional visualization of principal component scores for process historical data analysis;Wang;Ind Eng Chem Res,2004

4. Diagnosis of process faults in chemical systems using a local partial least squares approach;Kruger;AIChE J,2008

5. A PLS-based statistical approach for fault detection and isolation of robotic manipulators;Muradore;IEEE Trans Ind Electr,2012

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