Detection of broken rotor bar fault in induction motor at various load conditions using wavelet transforms

Rotating machines such as induction motors are crucial parts of most industrial systems. The prognostic health management of induction motor rotors plays an essential role in increasing electrical machine reliability and safety, especially in critical industrial sectors. This paper presents a new approach for rotating machine fault prognosis under broken rotor bar failure, which involves the modeling of the failure mechanism, the health indicator construction, and the remaining useful life prediction. This approach combines signal processing techniques, inherent metrics, and principal component analysis to monitor the induction motor. Time- and frequency-domains features allowing for tracking the degradation trend of motor critical components that are extracted from torque, stator current, and speed signals. The most meaningful features are selected using inherent metrics, while two health indicators representing the degradation process of the broken rotor bar are constructed by applying the principal component analysis. The estimation of the remaining useful life is then obtained using the degradation model. The performance of the prediction results is evaluated using several criteria of prediction accuracy. A set of synthetic data collected from a degraded Simulink model of the rotor through simulations is used to validate the proposed approach. Experimental results show that using the developed prognostic methodology is a powerful strategy to improve the prognostic of induction motor degradation.

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Modeling and characterization of induction motor internal faults using finite element and discrete wavelet transforms

2007 IEEE Electric Ship Technologies Symposium ◽

10.1109/ests.2007.372094 ◽

2007 ◽

Cited By ~ 6

Author(s):

O. A. Mohammed ◽

N. Y. Abed ◽

S. Ganu

Keyword(s):

Finite Element ◽

Induction Motor ◽

Wavelet Transforms ◽

Discrete Wavelet ◽

Discrete Wavelet Transforms ◽

Internal Faults

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Performance Analysis of a 10hp Three phase Induction Motor Using Classical and Finite-Elements for Varying Load Conditions

10.1109/powerafrica52236.2021.9543149 ◽

2021 ◽

Author(s):

Anyanime T. Umoette ◽

Ogbonnaya I. Okoro ◽

Innocent E. Davidson

Keyword(s):

Performance Analysis ◽

Finite Elements ◽

Induction Motor ◽

Three Phase ◽

Load Conditions

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Design and construction of a prototype for the analysis of vibrations in an induction motor for the detection of faults

Revista del Desarrollo Tecnologico ◽

10.35429/jtd.2020.13.4.27.33 ◽

2020 ◽

pp. 27-33

Author(s):

Javier Garrido ◽

Beatris Escobedo-Trujillo ◽

Guillermo Miguel Martínez-Rodríguez ◽

Oscar Fernando Silva-Aguilar

Keyword(s):

Fourier Transform ◽

Induction Motor ◽

Wavelet Transforms ◽

Data Acquisition System ◽

Time Frequency ◽

Different Types ◽

Control Devices ◽

The Fourier Transform ◽

And Control ◽

Types Of Faults

The contribution of this work is to present the design of a prototype integrated by an induction motor, a data acquisition system, accelerometers and control devices for stop and start, to generate and identify different types of faults by means of vibration analysis. in the domain: time, frequency or frequency-time, through the use of the Fourier Transform, Fast Fourier Transform or Wavelet Transforms (wavelet transform). In this prototype, failures can be generated in the induction motor such as: unbalance, different types of misalignment, mechanical looseness, and electrical failures such as broken bars or short-circuited rings, an example of a misalignment failure is presented to show the process of analysis and detection.

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