Universiti Teknikal Malaysia Melaka: UTeM Open Journal System
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Design of Wireless Monitoring and Controlling System of Power Transmission Lines
Full text linkIn the traditional overhead power transmission lines systems, detection of the faults in electric lines is more difficulty, and leads to take more times to repair it. The faults resulting from loads or current leakage are difficult to detect. This paper offers a monitoring system for the weather conditions such as humidity, temperature, and rainfall, and also monitoring the current flow of the line to detect the faults and specified the fault region. The system disconnect the power when an over value exist. The design consist a group of nodes, each one contains a transmitter and receiver unit. The transmitter consists of group of sensors DHT11 sensor, Rain sensor and ACS755 which sends the measured information as frames via Xbee technology. All these nodes send their data to the main node. Virtual Serial Port Emulator VSPE used to access multiple nodes on the main pc. The results in this paper shows the performance of the system when all the parameters were within the allowed range. The design also was simulated in different out range values of over current, high humidity and high rainfall. The obtained results were accurate and prove that it works successfully
Artificial Neural Network and Space Vector Pulse Width Modulation Control Techniques for a Photovoltaic System with a Power Grid Connection and Lead Acid Battery Storage
Full text linkIn order to reduce the pollution generated by fossil fuels, the integration of the photovoltaic (PV) system into an electricity grid became a challenge and a solution to overcome this problem. However, to avoid the uncertain presence of solar power output as well as the increase of load demands during the cloudy day or at night, a storage element which is the battery is needed.This paper presents the design and simulation of a grid-connected PV system using MATLAB Simulink and focuses on the Artificial Neural Network MPPT technique to control the DC/DC Boost converter and the Space Vector Pulse Width Modulation (SVPWM) method used to control the main element of all the system which is “the inverter”. Then, it gives the design and the simulation of a Lead Acid battery storage connected through a bi-directional (Buck-Boost) converter to control its charge and discharging behavior. In fact, simulation results show that PV module has successfully integrated into the grid thanks to the efficiency of the ANN and SVPWM methods. Then prove that the storage element is able to store energy and provide it when the PV power is insufficient based on the charging and discharging process results of the storage battery
Liquid Slosh Suppression Hardware-in-the-Loop System by Implementing PID Model-Free Controller
Full text linkTraditionally, the model-based controllers are hard to implement for the container system which contains liquid due to the disordered behavior of the liquid slosh. The purpose of this article is to develop a liquid slosh suppression hardware-in-the-loop (HIL) system by implementing model-free PID controller. This system consists of DC motor to actuate the liquid container/tank to the prescribed location in the horizontal movement in the same time minimize the liquid slosh. The feedback signal from the encoder is used for developing the model-free PID controller. The experiment works is done by using LabVIEW and interfaced with hardware via data acquisition card. The performances evaluation of the liquid slosh suppression HIL system are based on the ability of the tank to follow the input in horizontal motion and liquid slosh level reduction. Based on the experimental results, the suggested model-free PID controller is capable to reduce the liquid slosh level in the same time produces fast input tracking of the tank
Long-Term Electricity Load Forecasting Based On Cascade Forward Backpropagation Neural Network
Full text linkNowadays, the Electrical System has an important role in all sectors of life. Electricity has a strategic role. Accuracy and reliability in electricity load forecasting is a great key that can help electricity companies in supplying electricity efficiency, hence, reducing wasted energy. In addition, electricity load forecasting can also help electricity companies to determine the purchase price and power generation. Long-term forecasting is a method of forecasting with a span of more than one year. The historical data will be a reference in solving the problems. This research propose the concept of cascade forward backpropagation for long-term load forecasting. The advantage of this concept is that it can accommodate non-linear conditions without ignoring the linear conditions. This study compared the results of the original data, Feed Forward Backpropagation Neural Network (FFBNN) and Cascade Forward Backpropagation Neural Network (CFBNN). The results were measured by comparing Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE)
A Conceptual Framework of Service Quality and Patient Loyalty in Muslim Friendly Healthcare
Full text linkThe purpose of this research is to investigate equalize of service quality in friendly Muslim hospitals and establish a conceptual framework that shows the relationship between service quality, patient satisfaction and loyalty. This research is founded on a comprehensive study of current literature on quality of hospital care, patient satisfaction, and patient loyalty. Important reviews of these literature studies have resulted in the determination and interpretation of service quality dimensions and the development of a relationship between service quality, patient satisfaction and patient loyalty. This paper determined five main aspects through which patients service quality in Muslim friendly hospitals.Thesefiveareasaretangibles,empathy, assurance, reliability and responsiveness. The framework indicates a direct link between quality of care, patient satisfaction and patient loyalty. Although many studies have been carried out on thestandardofhospitalservices,neitherofthem would do project all the possible dimensions to calculate the same in a friendly hospital in Malaysia. The SERVQUAL Model adopted by this study determines all the potential dimensions of service quality in Muslim friendly healthcare
Railway Wheel Wear Analysis
Full text linkWear due to wheel-rail critically influences railway operations. Wear of the wheel alters its profile which compromises the vehicle stability and increases the derailment risk. Past researches have focused on wear prediction due to wheel-rail interaction that crucial for different aspects such as running stability, passenger safety, comfort, life cycle optimization, and maintenance schedule. This research aims to provide an analysis of the comparison wear of the wheel and to analyze and compare the axle against wear rate. The data of wheel wear were measured by using the Calipri device. It is a wheel measurement device that is a highly precise measurement for predictive maintenance. The data obtained were analyzed deeply in order to see the pattern of wear rate of the wheel. The analysis shows that the wear rate increase in a smaller radius of the track curve due to the curve effect that happens because of friction between the wheels and the track. The lubrication system offers a potentially cost-effective means to reduce the wear rate of the wheels thus enhance rail wheels' life
STIFFNESS OF THIN-WALLED CHASSIS REINFORCED BY VERTICAL L-GUSSET PLATE UNDER BENDING AND TORSIONAL LOADS
Full text linkIt has been a great concern to increase the efficiency of a vehicle in the automotive industry. Typical energy breakdown of the energy consumption reveals that around 22% of the total fuel energy were used, where the rest were loss to the environment. Huge reserved of fuel can be made when a fraction of the loss can be minimized. Thin-walled chassis is one of the suggested methods in order to reduce weight of a vehicle. However, it was also debated that the beam or shell model might lose its ability to withstand forces acting on it when the critical load reach the highest point. Thus, this study intended to analyze the effect of gusset plate reinforcement on chassis towards bending and torsional load. From the study, it was found that the bending stiffness of the chassis reduced about 222.45% and increase about 84.75% for torsional stiffness. Hence, it can be concluded that gusset plate reinforcement designed and placed in this study is a good alternative to improve torsional stiffness and not the bending stiffness of thin-walled chassis
Investigation of Bird Strike Damage on Fokker 100 Airplane Wing and Nose
Full text linkBird strike or the collision of birds to the flying airplane is one of the common threats which reduces the safety of flying vehicles. Numerical analysis is so important to predict the behavior of airplanes body and nose in birds strike and it plays an important role to reduce the project cost and prevent unexpected damages. In this paper, it is tried to study the influence of birds strike on Fokker 100 airplane using the finite element method. In order to verify the proposed method, an experimental bird strike on a plane is studied. Then birds strike on the airplane wing and nose are numerically studied to investigate the amount of damage due to this phenomenon
The Effect of Carbon Nanotube Wall Thickness on Elastic Modulus of Nanocomposite
Full text linkThis paper focuses on effect of carbon nanotubes physical parameter on elastic modulus of nanocomposites. The remarkable properties of at least some of nano particles have led to high research in the field of nanocomposites, especially carbon nanotubes (CNTs). In this paper, polymer matrixes and carbon nanotubes (CNTs) are interest. At the nano scale, the structure of the carbon nanotube strongly influences the overall properties of the composite. Some well-known theories such as Halpin-TSai equation, shear lag model and modified mixture of low were employed to consider the efficient of carbon nanotubes physical parameter on elastic modulus of nanocomposites. According to the results, addition of volume fraction of CNTs caused a reduction of elastic modulus. The nanocomposite elastic properties are particularly sensitive to the nanotube diameter, with increasing on diameter and wall thickness of carbon nanotube the elastic modulus decreases and when length of carbon nanotube is increasing, the elastic modulus increases
The Influence of Green Marketing Mix on Consumer Purchase Intention Towards Green Products
Full text linkToday, the whole world is experiencing environmental problems such as climate changes, global warming and ozone depletion. All the problems have eventually led to disruption and losses for businesses. To ensure smooth operations, businesses are starting to shift their business model favouring towards producing environmentally friendly products. The right marketing strategy will persuade customers to purchase the product offered. Therefore, green marketing is recommended to be used as part of the strategy to guarantee green product purchases among customers. However, the use of green marketing can influence customers are still widely in need of exploration and research. Hence, this paper aims to look into and explore the acceptances of green marketing mix that influence consumer purchase intention towards green products. The study examined green marketing elements towards purchase intention. A total number of 150 responses are analysed to find the acceptances of green marketing mix by using regression analysis. The result indicates that the green marketing mix has positive impact towards customer purchase intention