Faults in smart grid systems: Monitoring, detection and classification

AEL Rivas, T Abrao - Electric Power Systems Research, 2020 - Elsevier
Smart Grid (SG) is a multidisciplinary concept related to the power system update and
improvement. SG implies real-time information with specific communication requirements …

Resilience analysis of critical infrastructures: a cognitive approach based on granular computing

H Fujita, A Gaeta, V Loia… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
A great impetus for the study of resilience in critical infrastructures (C's) is found in the large
number of initiatives and international research programmes from US, EU, and Asia …

A rough set-based bio-inspired fault diagnosis method for electrical substations

T Wang, W Liu, J Zhao, X Guo, V Terzija - International Journal of Electrical …, 2020 - Elsevier
Imprecision and uncertainty in the alarm messages may significantly affect the accuracy and
reliability of substation fault diagnosis results. To deal with that, a new rough set-based bio …

A regret theory-based three-way decision approach with three strategies

J Zhu, X Ma, J Zhan - Information Sciences, 2022 - Elsevier
Breast cancer is a malignant tumor that seriously threatens women's health. Although classic
multi-attribute decision-making (MADM) techniques can handle this kind of medical problem …

Analysis and prospect of the application of wireless sensor networks in ubiquitous power internet of things

L Cao, Z Wang, Y Yue - Computational Intelligence and …, 2022 - Wiley Online Library
With the rapid development of the economy and society, the low efficiency and high loss of
the traditional power grid can no longer meet the growing social demand, and the power …

A nifty collaborative intrusion detection and prevention architecture for smart grid ecosystems

A Patel, H Alhussian, JM Pedersen, B Bounabat… - Computers & …, 2017 - Elsevier
Smart Grid (SG) systems are critical, intelligent infrastructure utility services connected
through open networks that are potentially susceptible to cyber-attacks with very acute …

Identification technology of grid monitoring alarm event based on natural language processing and deep learning in China

Z Bai, G Sun, H Zang, M Zhang, P Shen, Y Liu, Z Wei - Energies, 2019 - mdpi.com
Power dispatching systems currently receive massive, complicated, and irregular monitoring
alarms during their operation, which prevents the controllers from making accurate …

An optimized method to calculate approximations in dominance based rough set approach

A Ahmad, U Qamar, MS Raza - Applied Soft Computing, 2020 - Elsevier
Abstract Classical Rough Set Theory (RST) is a prominent tool to deal with uncertainty of
categorical data. However, it does not consider the preference order between the values of …

A Pythagorean fuzzy multigranulation probabilistic model for mine ventilator fault diagnosis

C Zhang, D Li, Y Mu, D Song - Complexity, 2018 - Wiley Online Library
In coal mining industry, the running state of mine ventilators plays an extremely significant
role for the safe and reliable operation of various industrial productions. To guarantee the …

Multi-mode plant-wide process operating performance assessment based on a novel two-level multi-block hybrid model

Y Chang, X Zou, F Wang, L Zhao, W Zheng - … Engineering Research and …, 2018 - Elsevier
Process operating performance assessment judges the optimal degree of the process
performance and identifies the cause for non-optimality in real-time. Therefore, process …