Multimode Process Monitoring Method Based on Multiblock Projection Nonnegative Matrix Factorization
Joint Authors
Wang, Yan
Zhao, Yu-Bo
Li, Chuang
Zhu, Chuan-Qian
Han, Shuai-shuai
Gu, Xiao-Guang
Source
Advances in Mathematical Physics
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-24
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
A multimode process monitoring method based on multiblock projection nonnegative matrix factorization (MPNMF) is proposed for traditional process monitoring methods which often adopt global model of data and ignore local information of data.
Firstly, the training data set of each mode is partitioned by the complete link algorithm and the multivariate data space is divided into several subblocks.
Then, the projection nonnegative matrix factorization (PNMF) algorithm is used to model each subspace of each mode separately.
A joint probabilistic statistic index is defined to identify the running modes of the process data.
Finally, the Bayesian information criterion (BIC) is used to synthesize the statistics of each subblock and construct a new statistic for process monitoring.
The proposed process monitoring method is applied to the TE process to verify its effectiveness.
American Psychological Association (APA)
Wang, Yan& Zhao, Yu-Bo& Li, Chuang& Zhu, Chuan-Qian& Han, Shuai-shuai& Gu, Xiao-Guang. 2020. Multimode Process Monitoring Method Based on Multiblock Projection Nonnegative Matrix Factorization. Advances in Mathematical Physics،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1127390
Modern Language Association (MLA)
Wang, Yan…[et al.]. Multimode Process Monitoring Method Based on Multiblock Projection Nonnegative Matrix Factorization. Advances in Mathematical Physics No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1127390
American Medical Association (AMA)
Wang, Yan& Zhao, Yu-Bo& Li, Chuang& Zhu, Chuan-Qian& Han, Shuai-shuai& Gu, Xiao-Guang. Multimode Process Monitoring Method Based on Multiblock Projection Nonnegative Matrix Factorization. Advances in Mathematical Physics. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1127390
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1127390