Fuzzy Inference Method Applied to Georeferenced Maintenance Management

被引：0

作者：

Henriques, H. O. ^{[1
]}

Tavares, E. P. ^{[2
]}

Fortes, M. Z. ^{[1
]}

Malheiros, C. E. M. ^{[3
]}

Andrade, W. S. ^{[4
]}

Caparroz, S. L. ^{[5
]}

Motta, C. E. ^{[5
]}

机构：

[1] UFF, Rio De Janeiro, Brazil

[2] FUNCOGE, Rio De Janeiro, Rio De Janeiro, Brazil

[3] UFF, LETD, Rio De Janeiro, Brazil

[4] CEFET RJ, Rio De Janeiro, Brazil

[5] Eletropaulo, Sao Paulo, Brazil

来源：

IEEE LATIN AMERICA TRANSACTIONS | 2016年 / 14卷 / 09期

关键词：

Maintenance Management; Computational Intelligence; Geo-referencing; Contract Services; DECISION-MAKING; SELECTION; SYSTEM;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The maintenance systems management is a complex activity, especially when there are several contract companies acting as executors of the planned and emergency activities. In power distribution companies the managers are always looking for solutions that can support the contract companies performance identification and the location of system critical points that should be prioritized. This paper presents a study with real data collected application using the fuzzy inference method and geo-referencing information to support the electric power company maintenance management. Some case studies are presented to validate the methodology's application.

引用

页码：4043 / 4047

页数：5

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