Robust adaptive multivariate Hotelling's T2 control chart based on kernel density estimation for intrusion detection system

M Ahsan, M Mashuri, MH Lee, H Kuswanto… - Expert Systems with …, 2020 - Elsevier
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 …

[HTML][HTML] The risk management of perishable supply chain based on coloured Petri Net modeling

L Liu, X Liu, G Liu - Information processing in agriculture, 2018 - Elsevier
The supply chain of perishable products is a combination of information organization,
sharing and integration. The information modeling of supply chain is constructed to abstract …

Pattern recognition of control charts based on data feature enhancement and ensemble learning of classifiers for dimensional accuracy of products

H Chu, Y Dong, Q Cheng, J Yan, Y Zhao… - … Journal of Production …, 2024 - Taylor & Francis
Product quality in manufacturing is directly related to the reliability, durability and safety of
the product. Product quality can be controlled by building a product control chart pattern …

[HTML][HTML] Monitoring bivariate autocorrelated process using a deep learning-based control chart: A case study on the car manufacturing industry

A Yeganeh, SC Shongwe, AA Nadi… - Computers & Industrial …, 2025 - Elsevier
Due to the high frequency of sensor data collection in modern industries, consecutive
observations are potentially autocorrelated. Failing to address this issue adequately when …

On the multivariate progressive control chart for effective monitoring of covariance matrix

JO Ajadi, K Hung, M Riaz, NA Ajadi… - Quality and Reliability …, 2021 - Wiley Online Library
With the development of modern acquisition techniques, data with several correlated quality
characteristics are increasingly accessible. Thus, multivariate control charts can be …

[HTML][HTML] Risk-Based X-bar chart with variable sample size and sampling interval

ZT Kosztyán, AI Katona - Computers & Industrial Engineering, 2018 - Elsevier
Flexibility is increasingly important in production management, and adaptive control charts
(ie, control charts with variable sample size and/or variable sampling interval) have …

A probabilistic model with spike-and-slab regularization for inferential fault detection and isolation of industrial processes

L Luo, L Xie, H Su, F Mao - Journal of the Taiwan Institute of Chemical …, 2021 - Elsevier
This article develops a Bayesian latent variable model for inferential fault detection and
isolation using a spike-and-slab regularization technique. Different from conventional …

Product reliability–oriented optimization design of time-between-events control chart system for high-quality manufacturing processes

Z Chen, Y He, J Cui, X Han, Y Zhao… - Proceedings of the …, 2020 - journals.sagepub.com
In high-quality manufacturing processes, the yield is no more the only issue, and the quality
control approach that also considers the product's actual performance gradually becomes …

Design of Risk-Based Univariate Control Charts with Measurement Uncertainty

AI Katona, A Saghir, C Hegedűs, ZT Kosztyán - IEEE Access, 2023 - ieeexplore.ieee.org
Control charts are widely used tools of statistical process control (SPC). They are effective
tools for indicating process shifts, helping avoid an increased number of defective products …

The effect of measurement error on the performance of Mann‐Whitney and Signed‐Rank nonparametric control charts

M Nojavan, M Alishahi, M Rezaee… - Quality and Reliability …, 2021 - Wiley Online Library
Abstract Mann‐Whitney and Signed‐Rank control charts are two well‐known nonparametric
charts used for controlling the center of the process when the distribution of the process …