**Bearing Fault Detection in Induction Machine Using Squared Envelope Analysis of Stator Current**

Valeria Cristina Maria Nascimento Leite, Jonas Guedes Borges da Silva, Germano Lambert Torres, Giscard Francimeire Cintra Veloso, Luiz Eduardo Borges da Silva, Erik Leandro Bonaldi and Levy Ely de Lacerda de Oliveira

Additional information is available at the end of the chapter

http://dx.doi.org/10.5772/67145

#### **Abstract**

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In this chapter, motor current signature analysis based on squared envelope spectrum is applied in order to identify and to estimate the severity of outer race bearing faults in induction machine. This methodology is based on conventional vibration analysis techniques, however, it is, non-invasive, low cost, and easier to implement. Bearing fault detection and identification in induction machines is of utmost importance in order to avoid unexpected breakdowns and even a catastrophic event. Thus, bearing fault characteristic components are extracted combining summation of phase currents, prewhitening, spectral kurtosis and squared envelope spectrum analysis. Experimental results with a 0.37 W, 60 Hz, and three-phase induction machine demonstrated the methodology effectiveness.

**Keywords:** bearing fault detection, induction machine, motor current signature analysis, squared envelope analysis, spectral kurtosis
