[HTML][HTML] Thermal heat flux distribution prediction in an electrical vehicle battery cell using finite element analysis and neural network

LA Al-Haddad, L Ibraheem, AI EL-Seesy… - Green Energy and …, 2024 - Elsevier
In terms of battery design and evaluation, Electric Vehicles (EVs) are receiving a great deal
of attention as a modern, eco-friendly, sustainable transportation method. In this paper, a …

Vibration-current data fusion and gradient boosting classifier for enhanced stator fault diagnosis in three-phase permanent magnet synchronous motors

LA Al-Haddad, AA Jaber, MN Hamzah, MA Fayad - Electrical Engineering, 2024 - Springer
Permanent magnet synchronous motors (PMSMs) are widely recognized for their precise
control capabilities, making them indispensable in numerous industrial applications. Yet …

Failure analysis in predictive maintenance: Belt drive diagnostics with expert systems and Taguchi method for unconventional vibration features

AA Shandookh, AAF Ogaili, LA Al-Haddad - Heliyon, 2024 - cell.com
Predictive maintenance to avoid fatigue and failure enhances the reliability of mechanics,
herewith, this paper explores vibrational time-domain data in advancing fault diagnosis of …

Advancing task recognition towards artificial limbs control with ReliefF-based deep neural network extreme learning

LA Al-Haddad, WH Alawee, A Basem - Computers in Biology and Medicine, 2024 - Elsevier
In the rapidly advancing field of biomedical engineering, effective real-time control of
artificial limbs is a pressing research concern. Addressing this, the current study introduces a …

[HTML][HTML] Predicting the cumulative productivity of a solar distillation system augmented with a tilted absorber panel using machine learning models

WH Alawee, LA Al-Haddad, HA Dhahad… - Journal of Engineering …, 2024 - Elsevier
Solar distillation plays a crucial role in addressing water purification challenges, making it a
key technology in sustainable solutions. To enhance the performance of conventional solar …

Forecasting the productivity of a solar distiller enhanced with an inclined absorber plate using stochastic gradient descent in artificial neural networks

SA Mohammed, LA Al-Haddad, WH Alawee… - … Experiments and Design, 2024 - Springer
Solar distillers are of significant importance in advanced technologies, as they provide a
sustainable approach to address the issue of water purification. The utilization of innovative …

Application of AdaBoost for stator fault diagnosis in three-phase permanent magnet synchronous motors based on vibration–current data fusion analysis

LA Al-Haddad, SS Shijer, AA Jaber, ST Al-Ani… - Electrical …, 2024 - Springer
Permanent magnet synchronous motors (PMSMs) are of wide utilization in various industrial
applications for their precise control capabilities. Hereby, these PMSMs are consistently …

Efficient multidisciplinary modeling of aircraft undercarriage landing gear using data-driven Naïve Bayes and finite element analysis

LA Al-Haddad, NM Mahdi - Multiscale and Multidisciplinary Modeling …, 2024 - Springer
Advancements in aircraft design and production necessitate exhaustive simulations of
critical components, such as landing gear, to ensure optimal performance and safety. This …

[HTML][HTML] Evaluating electrical power yield of photovoltaic solar cells with k-Nearest neighbors: A machine learning statistical analysis approach

SS Shijer, AH Jassim, LA Al-Haddad… - e-Prime-Advances in …, 2024 - Elsevier
The increasing demand for sustainable and renewable energy solutions reflects the critical
importance of advancing photovoltaic (PV) technology and its operational efficiency. In …

Diagnosis of bearing faults using temporal vibration signals: a comparative study of machine learning models with feature selection techniques

AA Jaber - Journal of Failure Analysis and Prevention, 2024 - Springer
Accurately identifying bearing defects is crucial for guaranteeing the dependability and
effectiveness of industrial systems. Although the use of vibration signals for diagnosing …