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Bonaldi, E.L., de Oliveira, L.E.L., Borges da Silva, J.G., Lambert-Torres, G. and Borges da Silva, L.E. (2012) Predictive Maintenance by Electrical Signature Analysis to Induction Motors. In: R. Araujo, Ed., Induction Motor Modelling and Control, InTech, Croacia, 487-520.

has been cited by the following article:

• TITLE: Automatic System for Failure Detection in Hydro-Power Generators

  AUTHORS: Luis Carlos Ribeiro, Levy Ely de Lacerda de Oliveira, Erik Leandro Bonaldi, Luiz Eduardo Borges da Silva, Camila Paes Salomon, Jonas G. Borges da Silva, Germano Lambert-Torres

  KEYWORDS: Automatic System; On-Line Measurements; Digital Signal Processing; Predictive Maintenance; Failure Detection

  JOURNAL NAME: Journal of Power and Energy Engineering, Vol.2 No.4, April 15, 2014

  ABSTRACT: This paper presents an automatic system for failure detection in hydro-power generators. The main idea of this system is to detect failure using current and voltage signals acquired without any type of internal interference in the generator operation. The detected failures could be mechanical or electrical origins, such as: problems in bearings, unwanted vibrations, partial discharges, misalignment, unbalancing, among others. It is possible because the generator acts as a transducer for mechanical problems, and they appear in current and voltage signals. This automatic system based on electric signature analysis has been installed in Itapebi Power Plant generators since 2012. Some results are presented in this paper.