Dynamic monitoring and anomaly tracing of the quality in tobacco strip processing based on improved canonical variable analysis and transfer entropy
Multivariate statistical monitoring methods are proven to be effective for the dynamic tobacco strip manufacturing process. However, the traditional methods are not sensitive enough to small faults and the practical tobacco processing monitoring requires further root cause of quality issues. In this...
Main Authors: | Linchao Yang, Ying Liu, Guanglu Yang, Shi-Tong Peng |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2023-07-01
|
Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2023684?viewType=HTML |
Similar Items
-
Approximate Entropy in Canonical and Non-Canonical Fiction
by: Mahdi Mohseni, et al.
Published: (2022-02-01) -
Canonical ensemble ground state and correlation entropy of Bose–Einstein condensate
by: Anatoly Svidzinsky, et al.
Published: (2018-01-01) -
Fault Detection and Identification of Furnace Negative Pressure System with CVA and GA-XGBoost
by: Dan Ling, et al.
Published: (2022-08-01) -
An Entropy-Based Network Anomaly Detection Method
by: Przemysław Bereziński, et al.
Published: (2015-04-01) -
Examination of Relationships Between Some Biochemical and Oxidative Stress Traits by Canonical Correlation Analysis in Broiler Chickens
by: Sıddık Keskin, et al.
Published: (2018-03-01)