Detection and Diagnosis of Broken Rotor Bars in Induction Motors Using the Fuzzy Min-Max Neural Network

Detection and Diagnosis of Broken Rotor Bars in Induction Motors Using the Fuzzy Min-Max Neural Network

Manjeevan Seera (School of Electrical & Electronic Engineering, Universiti Sains Malaysia, Malaysia), Chee Peng Lim (School of Computer Sciences, Universiti Sains Malaysia, Malaysia) and Dahaman Ishak (School of Electrical & Electronic Engineering, Universiti Sains Malaysia, Malaysia)
Copyright: © 2012 |Pages: 12
DOI: 10.4018/jncr.2012010104
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Abstract

In this paper, a fault detection and diagnosis system for induction motors using motor current signature analysis and the Fuzzy Min-Max (FMM) neural network is described. The finite element method is first employed to generate experimental data for predicting the changes in stator current signatures of an induction motor due to broken rotor bars. Then, a series real laboratory experiments is for broken rotor bars detection and diagnosis. The induction motor with broken rotor bars is operated under different load conditions. In all the experiments, the FMM network is used to learn and distinguish between normal and faulty states of the induction motor based on the input features extracted from the power spectral density. The experimental results positively demonstrate that the FMM network is useful for fault detection and diagnosis of broken rotor bars in induction motors.
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2. Broken Rotor Bars

In this section, the theory of broken rotor bars is first given. This is followed by a review of related work pertaining to fault detection and diagnosis of broken rotor bars.

2.1. Theory

Cast cage and fabricated cage are two different types of cage rotors in induction motors. Cast cage rotors are normally used in induction motors up to 3000-kW rating while fabricated cages are used in induction motors of higher ratings and in special application machines (Awadallah & Morcos, 2003). Cast rotors are difficult to fix once breakage or cracks develop in them, although they are more durable and rugged than fabricated cages. According to Montanari et al. (2007), broken rotor bars constitute about 10% of the total induction machine faults. During broken rotor bars events, the sideband currents are given by (Awadallah & Morcos, 2003):

(1)

Where k = 1, 2, 3. Considering the speed ripple effects, other frequency spectrums, which can be observed in the stator-current spectrum, are given by (Awadallah & Morcos, 2003):

(2)

Where p is the number of pole pairs, and k/p = 1, 2, 3.

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