Chronic leak detection for single and multiphase flow: A critical review on onshore and offshore subsea and arctic conditions
Leak detection in pipelines has been a prevalent issue for several decades. Pipeline leaks
from sources such as small cracks and pinholes are termed chronic leaks, as they have the …
from sources such as small cracks and pinholes are termed chronic leaks, as they have the …
Multiclass data classification using fault detection-based techniques
Multiclass classification of big data is a subject of broad interest in machine learning
research nowadays, where it is necessary to extract important features from a dataset's …
research nowadays, where it is necessary to extract important features from a dataset's …
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 …
Combination of sequential sampling technique with GLR control charts for monitoring linear profiles based on the random explanatory variables
Control charts play a beneficial role in the manufacturing process by reduction of non-
compatible products and improving the final quality. In line with these aims, several adaptive …
compatible products and improving the final quality. In line with these aims, several adaptive …
Research on pinhole accidental gas release in pipelines: Statistical modeling, real gas CFD simulation, and validation
The successful risk mitigation of Natural Gas (NG) leakage to reduce its environmental and
economic impact depends chiefly on timely detection leaks and predicting the amount of gas …
economic impact depends chiefly on timely detection leaks and predicting the amount of gas …
Enhanced dispersion monitoring structures based on modified successive sampling: Application to fertilizer production process
In this era of Industry 4.0, efficient and affordable monitoring solutions are needed for the
surveillance of manufacturing/service operations. In general, memory-type control charts …
surveillance of manufacturing/service operations. In general, memory-type control charts …
Design of functional observers for fault detection and isolation in nonlinear systems in the presence of noises
This work deals with the problem of designing functional observers for fault diagnosis in
nonlinear systems in the presence of noises. It follows up previous work of the authors on …
nonlinear systems in the presence of noises. It follows up previous work of the authors on …
Bayesian-optimized Gaussian process-based fault classification in industrial processes
The integration of data-driven modeling techniques in machine learning applications, such
as multiclass classification, has resulted in robust classifier designs. However, one of the …
as multiclass classification, has resulted in robust classifier designs. However, one of the …
[HTML][HTML] A predictive analytics model with Bayesian-Optimized Ensemble Decision Trees for enhanced crop recommendation
B Motamedi, B Villányi - Decision Analytics Journal, 2024 - Elsevier
Researchers have been working on developing new effective, reliable, and environmentally
friendly crop recommendation systems. This study introduces a thorough framework for …
friendly crop recommendation systems. This study introduces a thorough framework for …
Enhanced operation of wastewater treatment plant using state estimation-based fault detection strategies
I Baklouti, M Mansouri, AB Hamida… - … Journal of Control, 2021 - Taylor & Francis
Fault detection is essential for monitoring of various biological processes and becomes even
more important in that context. This paper, therefore, presents an enhanced tool that merges …
more important in that context. This paper, therefore, presents an enhanced tool that merges …