Voltage unbalance evaluation in the intelligent recognition of induction motor rotor faults
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METHODOLOGIES AND APPLICATION
Voltage unbalance evaluation in the intelligent recognition of induction motor rotor faults Rodrigo H. C. Palácios1
· Ivan N. da Silva2 · Wagner F. Godoy1 · José A. Fabri1 · Lucas B. de Souza1
© Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract Induction motors are widely used in several industrial applications due to their factors of favouritism already consolidated, such as robustness, low cost and high reliability. Early detection and proper fault diagnosis reduce the maintenance cost and also increase process effectiveness. Therefore, this paper presents a method for fast classification of rotor faults in lineconnected induction motors operating at steady state, under unbalanced voltages and load conditions. Hence, the amplitude of the stator’s current signal in the time domain is presented as input to intelligent computational models for the classification of rotor’s faults. After a proper discretization of the current signal, the points extraction technique is applied allowing a reduction in the classifier’s complexity. Results from 900 experimental tests are provided and compared to validate this study. The results indicate that this approach can be employed to proper classify rotor broken bars in induction motors operating under unbalanced voltage and different load conditions. Keywords Rotor fault · Induction motor · Artificial neural networks
1 Introduction Three-phase induction motors (TIMs) consume more than 60% of the electric power in the industrial sector (Hajian et al. 2010). They are the main means of transforming electric power in motor mechanics (Guedes et al. 2019; Godoy et al. 2015). TIMs can present functioning faults divided into two major groups: electrical and mechanical. The electrical faults Communicated by V. Loia.
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Rodrigo H. C. Palácios [email protected] Ivan N. da Silva [email protected] Wagner F. Godoy [email protected] José A. Fabri [email protected] Lucas B. de Souza [email protected]
1
Universidade Tecnológica Federal do Paraná, Câmpus Cornélio Procópio, Cornélio Procópio, PR, Brazil
2
São Carlos School of Engineering, University of São Paulo, São Carlos, SP, Brazil
are the problems related to stator and rotor windings (present in some models of motors), broken bars and rings in the rotor and connections (Yeh and Demerdash 2007). The mechanical faults can arise from bearing problems, eccentricity, coupling wear, misalignment, among others (Glowacz 2019; Lopes et al. 2017; Singh and Kazzaz 2003). The squirrel-cage rotor of the induction motors consists of a fully interconnected bar set, forming a short-circuited coil. Thus, a homogeneous distribution of the magnetic flux is obtained in this part. Fractures in rotor1s bars can be caused by vibration, misalignment, eccentricity and excessive load on the motor shaft, e.g. Godoy et al. (2016). During motor operation under broken rotor bar conditions, there is a characteristic dysfunction in the system, since the structure is no longer balanced. Thi
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