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[HTML][HTML] Thermal heat flux distribution prediction in an electrical vehicle battery cell using finite element analysis and neural network
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 …
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
Permanent magnet synchronous motors (PMSMs) are widely recognized for their precise
control capabilities, making them indispensable in numerous industrial applications. Yet …
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
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
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 …
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 …
effectiveness of industrial systems. Although the use of vibration signals for diagnosing …