Please use this identifier to cite or link to this item:
Title: Failure model analysis for power equipment - data analytics
Authors: Yeo, Darren Zhong Hao
Keywords: Engineering::Electrical and electronic engineering::Electric power
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Yeo, D. Z. H. (2022). Failure model analysis for power equipment - data analytics. Final Year Project (FYP), Nanyang Technological University, Singapore.
Abstract: Power equipment failure analysis is critical for maintaining reliable power supply for everyone. Predicting the lifetimes of power equipment allow the making of better-informed preventive maintenance of the distribution network. There are many methodologies being employed to that end. Survival analysis is a popular statistical approach in lifetime analysis which has found many applications in engineering. This project explores the use of survival analysis and power equipment failure data for modelling and prediction of transformer lifetime patterns. Finally, the project employs a modern suite of software development tools to develop an intuitive and simple to use application for survival analysis and modelling.
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
  Restricted Access
4.04 MBAdobe PDFView/Open

Page view(s)

Updated on Sep 23, 2023


Updated on Sep 23, 2023

Google ScholarTM


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