Outputs (24)

Enhancing Gearbox Fault Diagnosis through Advanced Feature Engineering and Data Segmentation Techniques (2024)
Journal Article
Shukla, K., Holderbaum, W., Theodoridis, T., & Wei, G. (in press). Enhancing Gearbox Fault Diagnosis through Advanced Feature Engineering and Data Segmentation Techniques. Machines, 12(4), 261. https://doi.org/10.3390/machines12040261

Efficient gearbox fault diagnosis is crucial for the cost-effective maintenance and reliable operation of rotating machinery. Despite extensive research, effective fault diagnosis remains challenging due to the multitude of features available for cla... Read More about Enhancing Gearbox Fault Diagnosis through Advanced Feature Engineering and Data Segmentation Techniques.

Enhancing resilience of advanced power protection systems in smart grids against cyber–physical threats (2024)
Journal Article
Alasali, F., Hayajneh, A. M., Ghalyon, S. A., El‐Naily, N., AlMajali, A., Itradat, A., …Zaroure, E. (in press). Enhancing resilience of advanced power protection systems in smart grids against cyber–physical threats. IET Renewable Power Generation, https://doi.org/10.1049/rpg2.12957

Recently, smart grids introduce significant challenges to power system protection due to the high integration with distributed energy resources (DERs) and communication systems. To effectively manage the impact of DERs on power networks, researchers... Read More about Enhancing resilience of advanced power protection systems in smart grids against cyber–physical threats.

Intelligent Solar Forecasts: Modern Machine Learning Models and TinyML Role for Improved Solar Energy Yield Predictions (2024)
Journal Article
Hayajneh, A. M., Alasali, F., Salama, A., & Holderbaum, W. (2024). Intelligent Solar Forecasts: Modern Machine Learning Models and TinyML Role for Improved Solar Energy Yield Predictions. IEEE Access, 12, 10846-10864. https://doi.org/10.1109/access.2024.3354703

The advancement of sustainable energy sources necessitates the development of robust forecasting tools for efficient energy management. A prominent player in this domain, solar power, heavily relies on accurate energy yield predictions to optimize pr... Read More about Intelligent Solar Forecasts: Modern Machine Learning Models and TinyML Role for Improved Solar Energy Yield Predictions.

The recent development of protection coordination schemes based on inverse of AC microgrid: A review (2023)
Journal Article
Alasali, F., Mustafa, H., Saidi, A. S., El‐Naily, N., Abeid, S., Holderbaum, W., …Saad, S. M. (in press). The recent development of protection coordination schemes based on inverse of AC microgrid: A review. IET Generation, Transmission and Distribution, https://doi.org/10.1049/gtd2.13074

Integration of distributed generation systems and diversity of microgrid operations led to a change in the structure of the power system. Due to this conversion, new challenges have arisen when employing traditional overcurrent protection schemes. As... Read More about The recent development of protection coordination schemes based on inverse of AC microgrid: A review.

Using an EeonTex Conductive Stretchable Elastic Fibre for Hand Action Recognition (2023)
Journal Article
Abdul-Hussain, G., Holderbaum, W., Theodoridis, T., Wei, G., El-Hussieny, H., & Ferriz-Papi, J. A. (in press). Using an EeonTex Conductive Stretchable Elastic Fibre for Hand Action Recognition. Advances in Science and Technology, 133, 3-10. https://doi.org/10.4028/p-eeodk5

Tactile sensors in wearable devices have gained attention for their potential applications in enhancing amenability, generation, and functionality for the human body, including sensing and control. This study elaborates on the design of a tactile sen... Read More about Using an EeonTex Conductive Stretchable Elastic Fibre for Hand Action Recognition.

Powering up microgrids: A comprehensive review of innovative and intelligent protection approaches for enhanced reliability (2023)
Journal Article
Alasali, F., M. Saad, S., Salah Saidi, A., Itradat, A., Holderbaum, W., El-Naily, N., & F. Elkuwafi, F. (2023). Powering up microgrids: A comprehensive review of innovative and intelligent protection approaches for enhanced reliability. Energy Reports, 10, 1899-1924. https://doi.org/10.1016/j.egyr.2023.08.068

Microgrid protection schemes play a vital role in ensuring the reliability and efficiency of power distribution in urban and rural areas, especially as renewable distributed energy resources are increasingly integrated. This paper aims to provide a c... Read More about Powering up microgrids: A comprehensive review of innovative and intelligent protection approaches for enhanced reliability.

Modified Nonlinear Hysteresis Approach for a Tactile Sensor (2023)
Journal Article
Abdul-Hussain, G., Holderbaum, W., Theodoridis, T., & Wei, G. (in press). Modified Nonlinear Hysteresis Approach for a Tactile Sensor. Sensors, 23(16), 7293. https://doi.org/10.3390/s23167293

Soft tactile sensors based on piezoresistive materials have large-area sensing applications. However, their accuracy is often affected by hysteresis which poses a significant challenge during operation. This paper introduces a novel approach that emp... Read More about Modified Nonlinear Hysteresis Approach for a Tactile Sensor.

Highly sensitive multifunction protection coordination scheme for improved reliability of power systems with distributed generation (PVs) (2023)
Journal Article
Alasali, F., El‐Naily, N., Saidi, A. S., Itradat, A., Holderbaum, W., & Mohamed, F. A. (in press). Highly sensitive multifunction protection coordination scheme for improved reliability of power systems with distributed generation (PVs). IET Renewable Power Generation, https://doi.org/10.1049/rpg2.12820

The high penetration of distribution generators (DGs), such as photovoltaic (PV), has made optimal overcurrent coordination a major concern for power protection. In the literature, the conventional single or multi‐objective function (OF) for phase ov... Read More about Highly sensitive multifunction protection coordination scheme for improved reliability of power systems with distributed generation (PVs).

Optimal Operation of Distributed Generations Considering Demand Response in a Microgrid Using GWO Algorithm (2023)
Journal Article
Shokouhandeh, H., Ahmadi Kamarposhti, M., Holderbaum, W., Colak, I., & Thounthong, P. (2023). Optimal Operation of Distributed Generations Considering Demand Response in a Microgrid Using GWO Algorithm. Computer Systems Science and Engineering, 47(1), 809-822. https://doi.org/10.32604/csse.2023.035827

The widespread penetration of distributed energy sources and the use of load response programs, especially in a microgrid, have caused many power system issues, such as control and operation of these networks, to be affected. The control and opera... Read More about Optimal Operation of Distributed Generations Considering Demand Response in a Microgrid Using GWO Algorithm.

Innovative Characterization and Comparative Analysis of Water Level Sensors for Enhanced Early Detection and Warning of Floods (2023)
Journal Article
Tawalbeh, R., Alasali, F., Ghanem, Z., Alghazzawi, M., Abu-Raideh, A., & Holderbaum, W. (2023). Innovative Characterization and Comparative Analysis of Water Level Sensors for Enhanced Early Detection and Warning of Floods. Journal of Low Power Electronics and Applications, 13(2), https://doi.org/10.3390/jlpea13020026

In considering projections that flooding will increase in the future years due to factors such as climate change and urbanization, the need for dependable and accurate water sensors systems is greater than ever. In this study, the performance of four... Read More about Innovative Characterization and Comparative Analysis of Water Level Sensors for Enhanced Early Detection and Warning of Floods.