A review on data-driven process monitoring methods: Characterization and mining of industrial data
Safe and stable operation plays an important role in the chemical industry. Fault detection
and diagnosis (FDD) make it possible to identify abnormal process deviations early and …
and diagnosis (FDD) make it possible to identify abnormal process deviations early and …
Challenges in the development of soft sensors for bioprocesses: A critical review
Among the greatest challenges in soft sensor development for bioprocesses are variable
process lengths, multiple process phases, and erroneous model inputs due to sensor faults …
process lengths, multiple process phases, and erroneous model inputs due to sensor faults …
A survey on multistage/multiphase statistical modeling methods for batch processes
In industrial manufacturing, most batch processes are inherently multistage/multiphase in
nature. To ensure both quality consistency of the manufactured products and safe operation …
nature. To ensure both quality consistency of the manufactured products and safe operation …
[PDF][PDF] 基于时段的间歇过程统计建模, 在线监测及质量预报
赵春晖， 王福利， 姚远， 高福荣 - 自动化学报, 2010 - researchgate.net
摘要首先针对基于多元统计技术的间歇过程统计建模, 在线监测, 故障诊断及质量预测等热点
问题进行了论述, 回顾了各类方法的发展, 并分析了各自的优缺点. 接下来重点针对间歇工业过程 …
问题进行了论述, 回顾了各类方法的发展, 并分析了各自的优缺点. 接下来重点针对间歇工业过程 …
Stationary subspace analysis-based hierarchical model for batch processes monitoring
Conventional batch process monitoring strategies implement phase partition using all the
collected variables in high dimensions, which may result in high computation complexity and …
collected variables in high dimensions, which may result in high computation complexity and …
Data-driven methods for batch data analysis–A critical overview and mapping on the complexity scale
More than two decades have passed since the first holistic data-driven approaches for batch
data analysis (BDA) were published. The emphasis was on multivariate statistical process …
data analysis (BDA) were published. The emphasis was on multivariate statistical process …
Smart batch process: The evolution from 1D and 2D to new 3D perspectives in the era of Big Data
Big Data will revolutionize modern industry by improving process optimization, facilitating
insight discovery, and improving decision-making. This big data revolution presents a …
insight discovery, and improving decision-making. This big data revolution presents a …
A novel local neighborhood standardization strategy and its application in fault detection of multimode processes
H Ma, Y Hu, H Shi - Chemometrics and Intelligent Laboratory Systems, 2012 - Elsevier
Complex modern industrial processes often have several operating regions, and the
multimode process data would follow different distributions. However, most multivariate …
multimode process data would follow different distributions. However, most multivariate …
Batch process modeling and monitoring with local outlier factor
Batch processes are commonly involved by a succession of working phases with implicit
non-Gaussian behaviors. Besides, in most cases, batch-to-batch processes also show …
non-Gaussian behaviors. Besides, in most cases, batch-to-batch processes also show …
Pseudo Time-Slice Construction Using a Variable Moving Window k Nearest Neighbor Rule for Sequential Uneven Phase Division and Batch Process Monitoring
Multiphase characteristics and uneven-length batch duration have been two critical issues to
be addressed for batch process monitoring. To handle these issues, a variable moving …
be addressed for batch process monitoring. To handle these issues, a variable moving …