- Electric Motor Design and Analysis
- Machine Fault Diagnosis Techniques
- Multilevel Inverters and Converters
- Frequency Control in Power Systems
- Microgrid Control and Optimization
- Non-Destructive Testing Techniques
- Magnetic Properties and Applications
- Energy Load and Power Forecasting
- Sensorless Control of Electric Motors
- Lightning and Electromagnetic Phenomena
- Engineering Education and Curriculum Development
- Wind Turbine Control Systems
- Power System Optimization and Stability
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Power Systems and Renewable Energy
- Induction Heating and Inverter Technology
- Magnetic Bearings and Levitation Dynamics
- Advanced Control Systems Optimization
- Network Security and Intrusion Detection
- Wind Energy Research and Development
- Thermochemical Biomass Conversion Processes
- Electromagnetic Compatibility and Noise Suppression
- COVID-19 Pandemic Impacts
- Photovoltaic System Optimization Techniques
- Power Quality and Harmonics
Princess Sumaya University for Technology
2016-2025
Royal Scientific Society
2019-2021
Al-Zaytoonah University of Jordan
2017-2020
The massive modern technical revolution in electronics, cognitive computing, and sensing has provided critical infrastructure for the development of today’s Internet Things (IoT) a wide range applications. However, because endpoint devices’ storage, communication capabilities are limited, IoT infrastructures exposed to cyber-attacks. As such, Darknet or blackholes (sinkholes) attacks significant, recent attack vectors that launched against several services. Since address space evolved as...
Applied mathematical modeling of the various energy resources has contributed widely in their design and operation improvements. Among renewable sources, wind systems have gained a significant attention for rapid continuous growth, which resulted from cost effectiveness clean power generation. However, research effort on industry university levels is still needed to enhance characteristics existing turbines allow larger amounts share. This thesis presents an accurate model turbine (TWT-1.65)...
Broken rotor bars (BRBs) in induction motors (IMs) are a common kind of failure and one the most difficult to detect since motor continues run properly absence any evidence malfunction. There have been several approaches presented for identifying BRBs IMs. However, order parameterize current signal, they need tools with high computational cost, making an online implementation appropriate monitoring system difficult. As result, this paper proposes novel AI-based approach classify faults IMs...
The continuous increasing demand of electricity contradicts with the difficulty to secure corridors construct new transmission lines. This paper investigates alternatives regarding parallel lines from point view magnetic flux density level under and around current-carrying conductors first alternative is for existing by converting a three-phase double-circuit line six-phase circuit. second building compact circuits. shows that compact-compact combination exhibits optimum patterns it highly...
COVID-19 pandemic has had an adverse impact on higher education worldwide. In particular, the situation can be more crucial for electrical power engineering due to importance of direct relationship between students and their instructor embodied in campus’ classroom interaction requisite face-to-face learning. Apparently, e-learning instructional design provided a fairly accepted solution through online lectures exams courses. Nevertheless, difficulty persists moving experiment equipment...
In this paper, the radial and axial forces due to inrush short circuit currents on both inner outer surfaces of low voltage (LV) high (HV) windings are calculated. Static dynamic aspects these which related variation versus winding height time analyzed. Power transformer in start-up mode under fault is modeled using two-dimensional (2D) stepping finite element method (TSFEM). This approach leads precise determination required signals including current, magnetic flux density, forces....
Energy demand forecasting has been an indispensable research target for academics, which led to creative solutions energy utilities in terms of power system design, control, and planning. The usefulness is confined the engineering industry but globally exceeds such outcomes contribute environment health sectors. Despite large number projects published on this topic, challenge still exists, especially with developments modeling concepts via artificial intelligence, motivates more attractive...
Computer simulation of energy resources has led to significant achievements in the interdisciplinary fields and environment. Apart from renewable resources, fossil-fuel power generation plants can be made cleaner satisfy future climate targets while keeping secure stable grid. Clean coal are still among dominant options for generation, which committed through energy-efficient operation, carbon capture storage, or combination both strategies. On other hand, machine learning deep techniques...
Gas turbines are used in the energy sectors as propulsion and power generation technologies. Despite technological advances emergence of numerous resources, gas turbine technology remains important due to its flexibility load demand following, dynamical behavior, ability work on different fuels with minor design changes. However, there would be no ambitious progress for without reliable modeling simulation. This paper describes a novel approach modeling, identifying, controlling running...
Single-phase self-excited reluctance generators provide a good alternative to single-phase induction used in standalone generator applications. This is because of their simplicity, ruggedness, and higher efficiency. The determination the conditions for self-excite, typically critical speed and/or capacitance(s), plays an important role design system. So far, such analysis has only considered behavior under constant loading conditions. However, with most driven by sustainable sources, thus...
This article presents two novel algorithms for the estimation and diagnosis of current unbalance factor (CUF) three-phase power systems from single period acquired data samples. The CUF is evaluated by an algorithm named circular phase shift (CPS), parameters are estimated a cross-correlation (CCC) diagnosis. along with multisensory transmitted monitored through remote web server detection incipient faults including machines. CPS has accuracy that exceeds 95% values exceeding 5%. CCC...
This paper studies rotor broken bars fault in induction motors and proposes its fundamental concept. concept is used to obtain the imposed frequencies on faulted motor variables analytically. It also shown that fault-dependant are present output voltage of inverter-fed utilizing transfer function speed control loop. Some additional frequency patterns, other than line-start motor, influence performance this causes more distortions larger index value compared case. The aforementioned...
Abstract This article describes an analytical approach to predict the instantaneous torque and speed curves of a three-phase induction motor under mixed-eccentricity fault. can be utilized type degree eccentricity using modified stator magneto-motive forces for fault in which slotting saturation effects are taken into account. The computation is based on solution field equations cylindrical coordinates Laplace Poisson with current density as input. Frequencies predicted without constant load...
During self-excitation of single phase reluctance generators, the variation value magnetizing inductance, due to saturation, is main factor that initiates and stabilizes growing transient generated voltage which continue oscillate at a particular frequency steady state. For machine self-excite, excitation capacitance must be larger than some minimum value. In this paper required for initiating build-up in self excited generator (SPSERG) was determined by observing its state space...
This paper presents a novel smart-grid power-conditioning system with intelligent control for solving critical issue affecting the performance and life of three-phase asynchronous machines that are highly sensitive to voltage phase drifts power disturbances electric grid. The present work controlling supply an electric-grid is based on original conditioning algorithm; named recursive stochastic optimization (RSO) algorithm. An machine steady-state model derived symmetrical components...
This work investigates the effect of voltage unbalance on starting and steady-state performances squirrel cage induction motors. Emphasis is placed rotor flux slip. Both copper losses accumulated during run up at steady state are investigated. Five motor ratings to 4000 kVA operating partial full load studied. Because same factor may result in different behaviors, a code proposed simplify referring individual per unit phase magnitudes. Full operation higher than 3.5% showed an increase more...
With the need for specialized civil engineers rising in local and regional markets, Al-Zaytoonah University of Jordan (ZUJ) had launched Civil Infrastructure Engineering (CIE) program 2009. The CIE has aspired to be among renowned universities worldwide through recognition Accreditation Board Technology (ABET). curriculum was adapted meet requirements ABET. As a consequence preparing first-time accreditation program, authors have learned several valuable lessons. This article constitutes...
Sliding pressure control is a well-known method of controlling supercritical power plants that improves energy efficiency and reduces dynamic stresses. This paper presents novel approach for developing cleaner coal plant’s sliding strategy. First, using Whale Optimizer, nonlinear identified transfer matrix model was created (WO). By comparing simulations errors, the WO clearly outperforms GA Grey-Wolf Optimizer (GWO) techniques on parameter identification. The also includes multivariable...