Condition Monitoring of Single Phase Induction Motor Using Fuzzy Logic Scheme

Condition Monitoring of Single Phase Induction Motor Using Fuzzy Logic Scheme

Sudeep SamantaPushpak Seal Jitendra Nath Bera

MCKVIE, Liluah, Howrah, India

MCKVIE, Liluah, Howrah, India

Applied Physics Department, University College of Science and Technology

Corresponding Author Email: 
sudeep0809@gmail.com; sudeep0809@gmail.com
Page: 
80-88
|
DOI: 
https://doi.org/10.18280/mmc_d.380107
Received: 
April 2017
|
Accepted: 
15 November 2017
|
Published: 
31 December 2017
| Citation

OPEN ACCESS

Abstract: 

In this paper, the authors described a performance based health monitoring technique of the singlesingle-phase induction motor. When any internal damage occurs in induction motor, harmonic generates and its severity depends on how much internal damage occurs. Presented technique was bas ed on the analysis of voltage and current signals of induction motor. A Fuzzy logic based

algorithm has been made for condition monitoring of Induction motor. The proposed methodology has been tested experimentally on a 100W, 230 V, 50 Hz domestic fan moto r to check the accuracy of Fuzzy inference system.

Keywords: 

Single phase induction motor, fast Fourier transform, total harmonic distortion, motor current signature analysis, Labview, fuzzy logic.

1. Introduction
2. Fault Detection Methodology
3. Hardware Experimentation
4. Conclusions
  References

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