Early detection of different faults will assist motor operation and prevent it from complete damage. Condition monitoring is extremely important to monitor the motor status and isolate it under failure conditions. This paper will propose a MATLAB® mathematical based neural network model for early detection of static eccentricity fault in line start permanent magnet synchronous (LSPMS) Motors. Under different combinations of fault-load conditions, the motor will be simulated to specify the characteristic of this fault. The line current will be utilized to extract the distinct principal components. The efficient selected components will be used as the input of neural network to recognize the percentage of occurrence as well as the fault's severity. The network will be trained over a specified range of static eccentricity degrees. Besides, it will be tested for unseen cases to qualify the effectiveness of the trained neural network. The testing results show a detection accuracy in a range between 95-98%.

Due to increasing demand for electrical power over the world, the integration of non-conventional power sources, such as wind generators, has become a necessity. This paper introduces a reliability-assessment method for an wind-storage system connected to local loads. Random outages are imposed to load chronological data to simulate grid failures using the Monte Carlo simulation method. A comparison among the grid-connected load, the hybrid system that contains the wind generator with and without energy storage, and the stand-alone wind power system is included. This comparison is in terms of load reliability indexes such as availability, average interruption duration, and average interruption frequency. A sensitivity analysis is performed on different cases to investigate the effect of a system's parameter.

Line start permanent magnet synchronous motors experience different types of failures, including static eccentricity. The first step in detecting such failures is the mathematical modeling of the motor under healthy and failed conditions. In this paper, an attempt to develop an accurate mathematical model for this motor under static eccentricity is presented. The model is based on the modified winding function method and coupled magnetic circuits approach. The model parameters are calculated directly from the motor winding layout and its geometry. Static eccentricity effects are considered in the motor inductances calculation. The performance of the line start permanent magnet synchronous motor using the developed mathematical model is investigated using MATLAB/SIMULINK^® software (2013b, MathWorks, Natick, MA, USA) under healthy and static eccentricity condition for different loading values. A finite element method analysis is conducted to verify the mathematical model results, using the commercial JMAG^® software (16.0.02n, JSOL Corporation, Tokyo, Japan). The results show a fine agreement between JMAG^® and the developed mathematical model simulation results.

In this paper, conventional and model reference adaptive cruise control systems will be investigated in term of design, modeling and simulation. The physical system structure will be modeled based on one car and two cars, following and preceding (host and leading). The conventional and adaptive systems will be simulated and designed to improve the system performance characteristics. The objective of this work will be focusing on construct the basic model of conventional and adaptive cruise systems as well as their transfer functions, analyze the systems performances and investigate the output response of these models.

Energy saving is an important issue addressed by electric utilities and consumers. Electric vehicles contribute to the world's emissions reduction, especially under renewable power generating systems. This research aims to investigate the feasibility of installing a photovoltaic system to sustain proposed electric vehicles load demand at King Fahd University of Petroleum & Minerals campus, Dhahran. The Kingdom has a very attractive solar energy resources and can be effectively employed. The PV systems will be mainly applied to the free space areas of existing parking lots through the university campus. The total amount of available area will be approximated in which the system to be installed. The system will be designed in standalone basis. The simulation will investigate the system performance for a system with and without storage units. The effect of various losses factors, e.g. temperature losses, will be taken into account. The PV system will be responsible for satisfying the total EV load demand, which is assumed to be existing in the university parking lots. A reliability assessment will be carried out in terms of availability of service and the average interruption and duration indices to assist in selecting a battery size.