Evaluating the Thermal Condition of Electrical Equipment via IRT Image Analysis

The integrity of electrical power equipment is of paramount importance when itsupplies electricity throughout a facility. However, the reliability of the equipments will degraded after sometime, and appropriate maintenance has to be taken accordingly to avoid future faults. Infrared thermography (IRT) image analysis is a commonly used technique for diagnosing the reliability of electrical equipments. Conventionally, the analysis of infrared image is done manually and takes very long time for further analysis. This paper proposes an automatic thermal fault detection and classification system for evaluating thecondition of electrical equipment by analyzing its infrared image. First, the image is segmented to find the target region of interest (ROI). The detected regions which have the same region properties are grouped together in order to remove the unwanted regions. Finally, statistical features from each detected region are extracted and classified using the support vector machine (SVM) algorithm. The thermal condition of electrical equipments is evaluated based on qualitative measurement technique. The experimental result shows that the proposed system can detect and classify the thermal condition of electrical equipments

Development of Smart System for Renewable Energy Hybrid Power System Base on SCADA

This paper presents the development of smart energy monitoring and control system for Renewable Energy Hybrid Power Generation System (REHPGS) using SCADA. REHPGS model consists of photovoltaic, wind and gen-set system. SCADA is used to monitor and control the operation of Hybrid Power System (HPS) in real time. This paper planned a concept of smart grid by VisconDua Remote Terminal Unit (RTU)-IO Module. The RTU is responsible to collect information from power HPS plant. SCADA Expert controller is introduced to automatically control renewable energy sources. The monitoring and control system of REHPGS operated in real time and can perform under various operating conditions. The HPS plant will be fully automated, which mean the power plant would rely on the SCADA system on all its operations. Results show that the proposed system has the capability to monitor and optimize the output power generation of REHPG

Thermal Imaging for Enhancing Inspection Reliability: Detection and Characterization

Reliable performance of an equipment or structure depends on pre-service quality and in- service degradation of the equipment or structure under operating conditions. The role of non-destructive testing (NDT) is to ensure integrity, and in turn, reliability of equipment or structure. Besides, NDT can also monitor in-service degradation and to avoid premature failure of the equipments/structures and prevent accidents as well as save human life. Up to now, NDT has been used in various fields of applications such as the inspection o

DSP Based Sensorless Control Of A BLDC Motor With Direct Back EMF Detection Method.

This paper proposes a scheme for sensorless control of brushless dc (BLDC) motor by a direct back EMF detection method

Evaluating the Thermal Condition of Electrical Equipment Via IRT Image Analysis

The integrity of electrical power equipment is of paramount importance when itsupplies electricity throughout a facility. However, the reliability of the equipments will degraded after sometime, and appropriate maintenance has to be taken accordingly to avoid future faults. Infrared thermography (IRT) image analysis is a commonly used technique for diagnosing the reliability of electrical equipments. Conventionally, the analysis of infrared image is done manually and takes very long time for further analysis. This paper proposes an automatic thermal fault detection and classification system for evaluating thecondition of electrical equipment by analyzing its infrared image. First, the image is segmented to find the target region of interest (ROI). The detected regions which have the same region properties are grouped together in order to remove the unwanted regions. Finally, statistical features from each detected region are extracted and classified using the support vector machine (SVM) algorithm. The thermal condition of electrical equipments is evaluated based on qualitative measurement technique. The experimental result shows that the proposed system can detect and classify the thermal condition of electrical equipments

Expert system-based approach to automate the design process of power electronics converters

The design of power electronics converters is still an ad-hoc process. Usually, this process is accomplished virtually using existing simulation packages before the real implementation. Despite, the use of these packages, the process is proved to be time consuming and bulky task. This paper describes an expert system approach to ease this cumbersome process by automating the design procedure. The present approach combines expert system techniques with object-oriented paradigm. The designer has firstly to choose the appropriate application of the converter. Then the system suggests the most appropriate (according to the user's specifications) topology that is formed in a schematic file accepted by the Pspice simulation package. The topology is displayed within the Schematic environment containing all the circuit parameters and components including the best (optimum) switching devices and control circuits, here the simulation is launched automatically in order to investigate the outputs. The topologies constitute the knowledge base of the system represented as objects. The switching devices are stored in database module accessed by the inference engine to select the optimum switch for a certain topology. This approach could be a kernel of a power electronics converters design aid tool, whereby the complexity of the design process can be reduced dramatically

Design Optimization Of A High Frequency Power Transformer For A Switching Power Supply By Genetic Algorithms Approach.

The design optimization of a single-phase high frequency power transformer used in switching power supplies is presented in this paper

Malaysian energy demand and emissions from the transportation sector

Road transport represents one of the greatest areas of challenge for energy efficiency. A growing percentage of petrol usage is due to consumption in the transportation sector. However, in other sectors, petrol has been recently partially or totally substituted by other fuels. The need for worldwide action to achieve energy efficiency in the transportation sector has been recognized by the agencies of the United Nations and other international governmental and non‐governmental organizations. Transportation is one of the key factors for the growth and development of Malaysian economy. Currently, more than 80% of primary energy consumption based on fossil fuels and demand stays high and is supposed continually grow in the future. Even if technology developments eventually able to reduce specific consumption, world energy demand is likely to increase in line with its population. This sector also accounts for a substantial amount of air pollution in cities and contributes significantly to greenhouse gas emissions. This paper aims to analyze factors influencing the pattern and emission level of energy consumption in the transportation sector of Malaysia and extrapolates the total energy demand and vehicular emissions. First published online: 10 Feb 201