Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/158414
Title: Graphical user interface (GUI) development for power equipment health monitoring software
Authors: Jia,Qitong
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Jia, Q. (2022). Graphical user interface (GUI) development for power equipment health monitoring software. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158414
Abstract: Power industries occupy an important position nowadays. As the power grid develops and the number of equipment increases, the management of the power company has been significantly affected. The traditional methods have some shortcomings of inadequate monitoring, and maintenance methods such as time-based management lack of flexibility for adapting such changes making it costly for power companies to monitor and maintain their equipment each year. In addition, some monitoring systems nowadays are single-functional and cannot diagnose the health status of equipment comprehensively. With the development of data information technology, risk-based asset management combined with monitoring system software has become one of the most important methods used by power companies to manage their equipment, which can pave the way for effective management and safe operation of equipment. This dissertation first introduces the risk-based asset management method and then develops a risk-based asset management health monitoring system for some typical electrical equipment by using the Model-View-Controller pattern in ASP.NET Core platform. The system was developed by using Visual Studio 2019 and programmed with HTML, CSS, JavaScript and C# languages. The data is stored in a MySQL database, allowing data to be extracted from the database and finally displayed on a web page. The visualization of the information is achieved, and the web pages provide the condition information of the equipment with the function of querying and downloading the data. With the help of the developed system, the health conditions and potential risk of these power equipment can be evaluated efficiently. If aging or failure of the equipment is encountered, maintenance can be arranged in time to ensure the safe operation and avoid potential loss.
URI: https://hdl.handle.net/10356/158414
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
Jia Qitong-Dissertation.pdf
  Restricted Access
7.35 MBAdobe PDFView/Open

Page view(s)

57
Updated on Dec 6, 2022

Download(s)

8
Updated on Dec 6, 2022

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.