Application of machine learning in statistical process control charts: A survey and perspective
Over the past decades, control charts, one of the essential tools in Statistical Process Control
(SPC), have been widely implemented in manufacturing industries as an effective approach …
(SPC), have been widely implemented in manufacturing industries as an effective approach …
Incorporating principal component analysis into Hotelling T2 control chart for compositional data monitoring
In the manufacturing industry, compositional data (CoDa) is a vital quality characteristic to be
monitored. The proposed study has introduced a Hotelling T 2 control chart using principal …
monitored. The proposed study has introduced a Hotelling T 2 control chart using principal …
Robust adaptive multivariate Hotelling's T2 control chart based on kernel density estimation for intrusion detection system
The utilization of conventional multivariate control chart in network intrusion detection will
deal with two main problems. First, the high false alarm occurs due to the distribution of …
deal with two main problems. First, the high false alarm occurs due to the distribution of …
[PDF][PDF] Intrusion detection system using multivariate control chart Hotelling's T2 based on PCA
Statistical Process Control (SPC) has been widely used in industry and services. The SPC
can be applied not only to monitor manufacture processes but also can be applied to the …
can be applied not only to monitor manufacture processes but also can be applied to the …
Bootstrap-based maximum multivariate CUSUM control chart
Maximum multivariate cumulative sum (Max-MCUSUM) is one of the single control charts
that plot single statistic as a representation of mean vector and covariance matrix. The Max …
that plot single statistic as a representation of mean vector and covariance matrix. The Max …
Bearing assessment tool for longitudinal bridge performance
D Garcia-Sanchez, A Fernandez-Navamuel… - Journal of Civil …, 2020 - Springer
This work provides an unsupervised learning approach based on a single-valued
performance indicator to monitor the global behavior of critical components in a viaduct …
performance indicator to monitor the global behavior of critical components in a viaduct …
Kernel principal component analysis (PCA) control chart for monitoring mixed non-linear variable and attribute quality characteristics
The products are commonly measured by two types of quality characteristics. The variable
characteristics measure the numerical scale. Meanwhile, the attribute characteristics …
characteristics measure the numerical scale. Meanwhile, the attribute characteristics …
Outlier detection using PCA mix based T2 control chart for continuous and categorical data
Outliers presence may lead to misdetection on out-of-control observations in Phase II,
therefore, they should be cleaned in Phase I. This paper proposes PCA Mix based T 2 chart …
therefore, they should be cleaned in Phase I. This paper proposes PCA Mix based T 2 chart …
Control Chart T2Qv for Statistical Control of Multivariate Processes with Qualitative Variables
W Rojas-Preciado, M Rojas-Campuzano… - Mathematics, 2023 - mdpi.com
Simple Summary The T2Qv control chart is presented as a multivariate statistical process
control technique that performs an analysis of qualitative data through Multiple …
control technique that performs an analysis of qualitative data through Multiple …
Multivariate control chart based on Kernel PCA for monitoring mixed variable and attribute quality characteristics
The need for a control chart that can visualize and recognize the symmetric or asymmetric
pattern of the monitoring process with more than one type of quality characteristic is a …
pattern of the monitoring process with more than one type of quality characteristic is a …