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Application of FMEA-DEA (Failure Modes and Effect Analysis - Data Envelopment Analysis) to the air conditioning system of the control room a nuclear power plant; Aplicacao de FMEA-DEA ao sistema de ar condicionado da sala de controle de uma usina nuclear

Abstract

This dissertation presents the FMEA-DEA analysis application to the air conditioning system of the control room of a nuclear power plant. After obtaining the failure modes, the index associated to the occurrence probability, the severity of the effects and the potential of detention, a priority order is established for the failure modes or deviations. This number is obtained by multiplying the three mentioned index that vary in a natural scale from 1 to 10, where the higher the index, the more critical the situation will be. In this work, it is intended to use a model based on the data envelopment analysis, DEA jointly with the FMEA, to identify the current efficiency of the system and which failure modes or deviations are considered more critical, and by means of the weights attributed for the mathematical modeling to identify which index are contributing more for these deviations. From this identification, improvements can be set, which may consider administrative changes, operator training and so on, thus adding value to the final product. (author)
Publication Date:
Mar 15, 2007
Product Type:
Thesis/Dissertation
Report Number:
INIS-BR-4780
Resource Relation:
Other Information: TH: Diss. (M.Sc.); refs., 15 figs., 23 tabs
Subject:
22 GENERAL STUDIES OF NUCLEAR REACTORS; AIR CONDITIONING; ALGORITHMS; COMPARATIVE EVALUATIONS; COMPUTERIZED CONTROL SYSTEMS; CONTROL ROOMS; DECISION MAKING; EVALUATED DATA; EVALUATION; FAILURE MODE ANALYSIS; MULTI-PARAMETER ANALYSIS; NUCLEAR POWER PLANTS; OPTIMIZATION; REACTOR OPERATORS; RECOMMENDATIONS; RISK ASSESSMENT; STATISTICAL MODELS; THERMAL EFFICIENCY; TRAINING
OSTI ID:
21149307
Research Organizations:
Universidade Federal do Rio de Janeiro (UFRJ), RJ (Brazil). Coordenacao dos Programas de Pos-graduacao de Engenharia (COPPE)
Country of Origin:
Brazil
Language:
Portuguese
Other Identifying Numbers:
TRN: BR09V0514028913
Availability:
Available from INIS in electronic form
Submitting Site:
BRN
Size:
141 pages
Announcement Date:
May 14, 2009

Citation Formats

Barbosa, Junior, Gilberto Varanda. Application of FMEA-DEA (Failure Modes and Effect Analysis - Data Envelopment Analysis) to the air conditioning system of the control room a nuclear power plant; Aplicacao de FMEA-DEA ao sistema de ar condicionado da sala de controle de uma usina nuclear. Brazil: N. p., 2007. Web.
Barbosa, Junior, Gilberto Varanda. Application of FMEA-DEA (Failure Modes and Effect Analysis - Data Envelopment Analysis) to the air conditioning system of the control room a nuclear power plant; Aplicacao de FMEA-DEA ao sistema de ar condicionado da sala de controle de uma usina nuclear. Brazil.
Barbosa, Junior, Gilberto Varanda. 2007. "Application of FMEA-DEA (Failure Modes and Effect Analysis - Data Envelopment Analysis) to the air conditioning system of the control room a nuclear power plant; Aplicacao de FMEA-DEA ao sistema de ar condicionado da sala de controle de uma usina nuclear." Brazil.
@misc{etde_21149307,
title = {Application of FMEA-DEA (Failure Modes and Effect Analysis - Data Envelopment Analysis) to the air conditioning system of the control room a nuclear power plant; Aplicacao de FMEA-DEA ao sistema de ar condicionado da sala de controle de uma usina nuclear}
author = {Barbosa, Junior, Gilberto Varanda}
abstractNote = {This dissertation presents the FMEA-DEA analysis application to the air conditioning system of the control room of a nuclear power plant. After obtaining the failure modes, the index associated to the occurrence probability, the severity of the effects and the potential of detention, a priority order is established for the failure modes or deviations. This number is obtained by multiplying the three mentioned index that vary in a natural scale from 1 to 10, where the higher the index, the more critical the situation will be. In this work, it is intended to use a model based on the data envelopment analysis, DEA jointly with the FMEA, to identify the current efficiency of the system and which failure modes or deviations are considered more critical, and by means of the weights attributed for the mathematical modeling to identify which index are contributing more for these deviations. From this identification, improvements can be set, which may consider administrative changes, operator training and so on, thus adding value to the final product. (author)}
place = {Brazil}
year = {2007}
month = {Mar}
}