Patents by Inventor Zakariya Al-Hamouz

Zakariya Al-Hamouz has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20130262037
    Abstract: The partial discharge noise separation method uses Independent Component Analysis (ICA) for de-noising partial discharge (PD) test signals having a noise signal component and a partial discharge component. Assuming that the noise signal component and the PD signal component are both statistically independent of each other and non-Gaussian, the ICA algorithm separates the noise component from the PD signal component from two partial discharge test signals acquired from two separate couplers per phase that are connected to the windings of a three-phase rotating machine.
    Type: Application
    Filed: April 3, 2012
    Publication date: October 3, 2013
    Applicant: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS
    Inventors: HUSSAIN AL-DUWAISH, ZAKARIYA AL-HAMOUZ, SYED ZEESHAN RIZVI
  • Patent number: 8521455
    Abstract: The method for estimating corona power loss in a dust-loaded electrostatic precipitator numerically solves Poisson's equation and current continuity equations in which the finite element method (FEM) and a modified method of characteristics (MMC) are used. The system is a computerized system that produces results showing how different parameters such as discharging wire radius, wire-to-wire spacing, wire-to-plate spacing, fly ash flow speed and applied voltage polarity influence corona power loss and current density profiles.
    Type: Grant
    Filed: June 14, 2010
    Date of Patent: August 27, 2013
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Zakariya Al-Hamouz, Amer El-Hamouz, Nabil Abuzaid
  • Publication number: 20110307198
    Abstract: The method for estimating corona power loss in a dust-loaded electrostatic precipitator numerically solves Poisson's equation and current continuity equations in which the finite element method (FEM) and a modified method of characteristics (MMC) are used. The system is a computerized system that produces results showing how different parameters such as discharging wire radius, wire-to-wire spacing, wire-to-plate spacing, fly ash flow speed and applied voltage polarity influence corona power loss and current density profiles.
    Type: Application
    Filed: June 14, 2010
    Publication date: December 15, 2011
    Inventors: Zakariya Al-Hamouz, Amer El-Hamouz, Nabil Abuzaid
  • Publication number: 20110257800
    Abstract: The particle swarm optimizing sliding mode controller is applied to an interconnected Automatic Generation Control (AGC) model. The system formulates the SMC design as an optimization problem and utilizes a Particle Swarm Optimization (PSO) algorithm to find the optimal feedback gains and switching vector values of the controller. Two performance functions are used in the optimization process to demonstrate the system dynamical performance and SMC chattering reduction. The tested two-area interconnected AGC model incorporates nonlinearities in terms of Generation Rate Constraint (GRC) and a limiter on the integral control value.
    Type: Application
    Filed: April 14, 2010
    Publication date: October 20, 2011
    Inventors: Zakariya Al-Hamouz, Hussain N. Al-Duwaish, Naji A. Al-Musabi