A review on effective alarm management systems for industrial process control: barriers and opportunities

FE Mustafa, I Ahmed, A Basit, SH Malik… - International Journal of …, 2023 - Elsevier
The effective robust management of plant requires the implementation of industrial alarm
systems in a very significant capacity. The core objective of alarms is to warn the operator of …

An extended Tennessee Eastman simulation dataset for fault-detection and decision support systems

C Reinartz, M Kulahci, O Ravn - Computers & chemical engineering, 2021 - Elsevier
Abstract The Tennessee Eastman Process (TEP) is a frequently used benchmark in
chemical engineering research. An extended simulator, published in 2015, enables a more …

Real-time fault detection in PV systems under MPPT using PMU and high-frequency multi-sensor data through online PCA-KDE-based multivariate KL divergence

A Bakdi, W Bounoua, A Guichi, S Mekhilef - International Journal of …, 2021 - Elsevier
This paper considers data-based real-time adaptive Fault Detection (FD) in Grid-connected
PV (GPV) systems under Power Point Tracking (PPT) modes during large variations. Faults …

Online monitoring scheme using principal component analysis through Kullback-Leibler divergence analysis technique for fault detection

W Bounoua, AB Benkara, A Kouadri… - Transactions of the …, 2020 - journals.sagepub.com
Principal component analysis (PCA) is a common tool in the literature and widely used for
process monitoring and fault detection. Traditional PCA is associated with the two well …

Simultaneous fault detection and diagnosis using adaptive principal component analysis and multivariate contribution analysis

LM Elshenawy, TA Mahmoud… - Industrial & Engineering …, 2020 - ACS Publications
Detecting and diagnosing faults without a priori knowledge are important requirements in
monitoring practical industrial processes. Principal component analysis (PCA) and …

Nonparametric Kullback-divergence-PCA for intelligent mismatch detection and power quality monitoring in grid-connected rooftop PV

A Bakdi, W Bounoua, S Mekhilef, LM Halabi - Energy, 2019 - Elsevier
In parallel to sustainable growth in solar fraction, continuous reductions in Photovoltaic (PV)
module and installation costs fuelled a profound adoption of residential Rooftop Mounted PV …

The effect of measurement errors on the performance of the homogenously weighted moving average X¯ monitoring scheme

M Thanwane, JC Malela-Majika… - Transactions of the …, 2021 - journals.sagepub.com
Monitoring schemes are typically designed under the assumption of perfect measurements.
However, in real-life applications, data tend to be subjected to measurement errors, that is, a …

Handling imbalanced datasets for robust deep neural network-based fault detection in manufacturing systems

J Kafunah, MI Ali, JG Breslin - Applied Sciences, 2021 - mdpi.com
Over the recent years, Industry 4.0 (I4. 0) technologies such as the Industrial Internet of
Things (IIoT), Artificial Intelligence (AI), and the presence of Industrial Big Data (IBD) have …

[PDF][PDF] Solar tracking system with photovoltaic cells: Experimental analysis at high altitudes

ERA Larico, AC Gutierrez - International Journal of Renewable …, 2022 - researchgate.net
There is currently an urgent need to study the application of solar energy to photovoltaic
systems due to the need to produce electricity; indeed, maximizing the performance of solar …

[HTML][HTML] pyTEP: A Python package for interactive simulations of the Tennessee Eastman process

C Reinartz, TT Enevoldsen - SoftwareX, 2022 - Elsevier
Abstract pyTEP is an open-source simulation API for the Tennessee Eastman process in
Python. It facilitates the setup of complex simulation scenarios and provides the option of …