A comprehensive methodology for the optimization of condition-based maintenance in power transformer fleets

Published: 9 February 2023| Version 2 | DOI: 10.17632/hcyg643sym.2
Contributor:
Diego Zaldivar Sanchez

Description

Title: A comprehensive methodology for the optimization of condition-based maintenance in power transformer fleets Version: 1.0 Date of Release: 07/02/2022 Identifier: 10.17632/hcyg643sym.1 Associated publication: D.A. Zaldivar, A. Sanchez, A.A. Romero, "A comprehensive methodology for the optimization of condition-based maintenance in power transformer fleets." This directory contains the following datasets and supplementary materials: Explenation of all steps to calculate HI, II ,Risk and solve markov chains Matlab Codes: Algoritmo_Tesis_Final2.m : Main code of the methodology Matlab FIS Codes: Furanos6.fis : Fuzzy inference system file containing the inference rules and membership functions for the determination of the DP value. Indice_salud_DPTesis.fis: Fuzzy inference system file containing the inference rules and membership functions for the determination of the health index for power transformers evaluated using IEEE standards. Indice_salud_DPTesisIEC2.fis: Fuzzy inference system file containing the inference rules and membership functions for the determination of the health index for power transformers evaluated using IEC standards. Tranformadores.xlsx: Excel file containing the information of the 58 power transformer units necessary for the calculation of the health index, importance index and maintenance strategies.

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Institutions

Universidad Nacional de San Juan

Categories

Electrical Engineering, Power Transformer, Asset Management

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