Data-driven techniques for fault detection in anaerobic digestion process
Anaerobic digestion (AD) is an appropriate process for bio-energy (biogas) production from
waste and wastewater receiving a high level of attention at both academic and industrial …
waste and wastewater receiving a high level of attention at both academic and industrial …
Comprehensive analysis of change-point dynamics detection in time series data: A review
In the ever-evolving field of time series analysis, detecting changes in patterns and
dynamics is paramount for accurate forecasting and meaningful insights. This article …
dynamics is paramount for accurate forecasting and meaningful insights. This article …
[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 …
Process monitoring using kernel PCA and kernel density estimation-based SSGLR method for nonlinear fault detection
F Shahzad, Z Huang, WH Memon - Applied Sciences, 2022 - mdpi.com
Fault monitoring is often employed for the secure functioning of industrial systems. To
assess performance and enhance product quality, statistical process control (SPC) charts …
assess performance and enhance product quality, statistical process control (SPC) charts …
One-sided and two one-sided MEWMA charts for monitoring process mean
A Haq - Journal of Statistical Computation and Simulation, 2020 - Taylor & Francis
This study focuses on the development of new one-sided and two one-sided MEWMA charts
for monitoring the mean of a multivariate normal process. The one-sided MEWMA chart …
for monitoring the mean of a multivariate normal process. The one-sided MEWMA chart …
Residual-based maximum MCUSUM control chart for joint monitoring the mean and variability of multivariate autocorrelated processes
Maximum multivariate cumulative sum (Max-MCUSUM) is one of the single control charts
proposed for joint monitoring the mean and variability of independent observation. Since …
proposed for joint monitoring the mean and variability of independent observation. Since …
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 …
Tr(R2) control charts based on kernel density estimation for monitoring multivariate variability process
M Mashuri, H Haryono, DF Aksioma… - Cogent …, 2019 - Taylor & Francis
The multivariate control charts are not only used to monitor the mean vector but also can be
used to monitor the covariance matrix. The multivariate variability charts are used to …
used to monitor the covariance matrix. The multivariate variability charts are used to …
Data-driven fault detection methods for detecting small-magnitude faults in anaerobic digestion process
Early detection of small-magnitude faults in anaerobic digestion (AD) processes is a
mandatory step for preventing serious consequence in the future. Since volatile fatty acids …
mandatory step for preventing serious consequence in the future. Since volatile fatty acids …
Performance of T2-based PCA mix control chart with KDE control limit for monitoring variable and attribute characteristics
In this work, the mixed multivariate T 2 control chart's detailed performance evaluation based
on PCA mix is explored. The control limit of the proposed control chart is calculated using …
on PCA mix is explored. The control limit of the proposed control chart is calculated using …