A Fuzzy Inference-based Approach for Estimating Power Transformers Risk Index
Description
Title: A comprehensive methodology for the optimization of condition-based maintenance in power transformer fleets Version: 1.0 Date of Release: 14/03/2022 Identifier: 10.17632/ys6d4cvhwz.1 Associated publication: R.D. Medina, D.A. Zaldivar, A.A. Romero, J. Zuñiga, a and E.E. Mombello , "A Fuzzy Inference-based Approach for Estimating Power Transformers Risk Index" This directory contains the following datasets and supplementary materials: Matlab Codes: papermedina.m : Main code of the methodology Matlab FIS Codes: Indice_salud_69_230KV_DP.fis: Fuzzy inference system file containing the inference rules and membership functions for the determination of the health index for power transformers. FACTOR_CONSECUENCIA_TESIS_v2.fis: Fuzzy inference system file containing the inference rules and membership functions for the determination of the factor of consequence for power transformers. inidce_riesgo8.fis: Fuzzy inference system file containing the inference rules and membership functions for the determination of the risk index for power transformers. TransformerData.xlsx: Excel file containing the information of the 15 power transformer units necessary for the calculation of the health index, factor of consequence and risk index. This dataset includes the fuzzy inference rules created for two FIS that allow determining the consequence factor of the failure of power transformer and its risk index. These rules should be used as a reference of the article "A Fuzzy Inference-based Approach for Estimating Power Transformers Risk Index".