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FAULT ANALYSIS INTELLIGENCE: RESOURCE TO SUPPORT THE KNOWLEDGE MANAGENTE IN HIGH RELIABILITY ENGINEE

The objective of this paper is to present the Fault Analysis Intelligence (FAI) model as a specific computational resource to analyze large amounts of data and to support the knowledge management in high reliability engineering areas. The idealization of this model began in 2007 in a metrorailway company of São Paulo State, in which was observed a trend of development of business intelligence (BI) systems to support decisions in the administrative areas. On the other hand, the engineering areas, in spite of its volume, criticality and maturity in the rendering of services related to the security and reliability of the transport system, did not make use of a dedicated computational environment to collect data related to the occurrences of faults registered in the operational systems or to transform these data into information in order to collaborate with the project teams on the construction of the knowledge.

fault analysis intelligence; knowledge management; business intelligence; engineering area

Arquivo:tecsi08.pdf

Autor: A. Oliveira & J.R. Almeida Jr.

Data: 2009-10-26

 
 

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