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The Research of Bayes Assessment Model and System Development of Electrical Equipment State Based on the Temperature
Author: ChenLin
Tutor: TangZhong
School: Shanghai University of Electric Power
Course: Proceedings of the
Keywords: infrared technology monitoring system state assessment Bayesassessment
CLC: TM76
Type: Master's thesis
Year: 2013
Downloads: 16
Quote: 0
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Abstract
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With proposing the goal of constructing strong and smart power grid, thepower system puts forward higher request to the electrical equipment safety.Especially the areas that grid node of the transformer substation areunattended at present, which security is especially important. Regionalsecurity of substation includes not only the guard against theft of transformersubstation equipment security; more important is the safety operation of thetransformer substation electrical equipment. In such background, establishingon-line monitoring system for electrical equipment state, online monitoringand evaluating the operation status of electrical equipment, can effectivelyimprove the reliability of the power grid operation.Although the physical mechanism of electrical equipment malfunctioninvolves electricity, magnetism, heat, power and so on, the concreterepresentation of the vast majority of fault is the abnormal temperature, so wecan set the temperature value of these parts as basis to evaluate and analyzethe equipment state. The temperature is one of the most important logo toevaluate equipment state. Therefore, establishing on-line monitoring systemfor electrical equipment, and on the basis of the temperature of electricalequipment to evaluate and diagnose the running state, which is of greatsignificance to guarantee the safe operation of electrical equipment.This paper uses TN9infrared model to set up temperature measurementsystem to get the temperature of the electrical equipment and through test andverify, to correct the result. Then through the communication between PC andSCM, make the data transmit to PC, store and query the data.In addition, usethe VC++language to design the software, and at the same time make the data save to the database, in order to query historical data.Finally, based on thetemperature of the electrical equipment to set up Bayes evaluation model toassess the state of equipment, and according to the state to maintainequipment.At present this system has been in the commissioning and the result hasthe feasibility. The advantage of system is that it not only meets the needs ofproject, but also greatly reduces the maintenance cost of electrical equipment,increases efficiency and has strong application value.
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CLC: > Industrial Technology > Electrotechnical > Transmission and distribution engineering, power network and power system > Power system automation
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