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**Chapter 5** 

© 2012 Villwock et al., licensee InTech. This is an open access chapter distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

© 2012 Villwock et al., licensee InTech. This is a paper distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

**Itaipu Hydroelectric Power Plant Structural** 

**– Grouping and Ranking Techniques** 

Rosangela Villwock, Maria Teresinha Arns Steiner, Andrea Sell Dyminski and Anselmo Chaves Neto

kept so that one can pursue "knowledge" through these data.

Additional information is available at the end of the chapter

http://dx.doi.org/10.5772/53838

of eventual problems that may occur.

maker is extremely important.

useful to define which instrument to chose.

**1. Introduction** 

**Geotechnical Instrumentation Temporal Data** 

**Under the Application of Multivariate Analysis** 

The monitoring of a dam structure can generate an enormous mass of data of which the analysis and interpretation are not always trivial. It is important to select the information that better "explain" the behavior of the dam, making possible the prediction and resolution

The world largest hydroelectricity generator, Itaipu hydroelectric power plant, has more than 2.200 instruments that monitor its geotechnical and structural behavior, and these instruments have readings stored on a database for over 30 years. The high dimensionality and the large quantity of records stored on the databases are nontrivial problems that are

The detailed analysis of the auscultation instrumental data requires a combination of knowledge of Engineering, Mathematics and Statistics, as well as the previous experience of the engineer or the technician responsible for the analysis of these data. That consumes a lot of time, and often makes it impossible to accomplish this task in an efficient way. This is the reason why the use of techniques and computational instrumentation to help the decisions

There are no records of the existence of methods that perform the classification of monitoring instruments in dams. In case of reading intensification this hierarchy could be
