A Study of Fault Diagnosis Based on Electrical Signature Analysis for Synchronous Generators Predictive Maintenance in Bulk Electric Systems

Camila Paes Salomon, Claudio Ferreira, Wilson Cesar Sant’Ana, Germano Lambert-Torres, Luiz Eduardo Borges da Silva, Erik Leandro Bonaldi, Levy Ely de Lacerda de Oliveira and Bruno Silva Torres
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Camila Paes Salomon: Institute of Electric Systems and Energy, Itajuba Federal University, Itajuba 37500-903, Brazil
Claudio Ferreira: Institute of Electric Systems and Energy, Itajuba Federal University, Itajuba 37500-903, Brazil
Wilson Cesar Sant’Ana: Gnarus Institute, Itajuba 37500-052, Brazil
Germano Lambert-Torres: Gnarus Institute, Itajuba 37500-052, Brazil
Luiz Eduardo Borges da Silva: Institute of System Engineering and Information Technology, Itajuba Federal University, Itajuba 37500-903, Brazil
Erik Leandro Bonaldi: Gnarus Institute, Itajuba 37500-052, Brazil
Levy Ely de Lacerda de Oliveira: Gnarus Institute, Itajuba 37500-052, Brazil
Bruno Silva Torres: Institute of Electric Systems and Energy, Itajuba Federal University, Itajuba 37500-903, Brazil

Energies, 2019, vol. 12, issue 8, 1-16

Abstract: The condition of synchronous generators (SGs) is a matter of great attention, because they can be seen as equipment and also as fundamental elements of power systems. Thus, there is a growing interest in new technologies to improve SG protection and maintenance schemes. In this context, electrical signature analysis (ESA) is a non-invasive technique that has been increasingly applied to the predictive maintenance of rotating electrical machines. However, in general, the works applying ESA to SGs are focused on isolated machines. Thus, this paper presents a study on the condition monitoring of SGs in bulk electric systems by using ESA. The main contribution of this work is the practical results of ESA for fault detection in in-service SGs interconnected to a power system. Two types of faults were detected in an SG at a Brazilian hydroelectric power plant by using ESA, including stator electrical unbalance and mechanical misalignment. This paper also addresses peculiarities in the ESA of wound rotor SGs, including recommendations for signal analysis, how to discriminate rotor faults on fault patterns, and the particularities of two-pole SGs.

Keywords: bulk electric system; condition monitoring; electrical signature analysis; fault diagnosis; predictive maintenance; synchronous generator (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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