i-manager Publications

Comparative Study of Induction Motor Stator Current Using FFT and Wavelet

Jayanta Kumar Sahni*, Kuldeep Sahay**, Satyendra Singh***

* Senior Research Assistant, Department of Electrical Engineering, Institute of Engineering & Technology, Lucknow, U.P, India.

** Professor & Head, Department of Electrical Engineering, Institute of Engineering & Technology, Lucknow, U.P, India.

*** Associate Professor, Department of Electrical Engineering, Institute of Engineering & Technology, Lucknow, U.P, India.

Periodicity:October - December'2016
DOI : https://doi.org/10.26634/jdp.4.4.8310

Abstract

This paper draws a comparative study of the induction motor stator current using Fast Fourier Transform (FFT) and Wavelet transform. The FFT is one of the most popular and oldest techniques used in signal processing to extract the frequency contents of the signal in the steady state. However, it suffers a drawback that in the process of extracting frequency information; the time information gets partially lost. This drawback is compensated by the wavelet transform. This is a new technique which is gaining popularity in many fields of science and engineering. In this paper, a single phase induction motor stator current signal data has been analyzed using FFT and Wavelet in the latest MATLAB environment. It has been shown that these two transform techniques reveals different aspects of a same stator current signal.

Keywords

Motor Current Signature Analysis (MCSA), FFT, Wavelet Transform, Current Sensor, Analogue to Digital Converter (ADC), Induction Motor, Condition Monitoring

How to Cite this Article?

Sahni, J, K, Sahay, K, and Singh, S (2016). Comparative Study of Induction Motor Stator Current Using FFT and Wavelet. i-manager’s Journal on Digital Signal Processing, 4(4), 1-7. https://doi.org/10.26634/jdp.4.4.8310

References

[1]. Jee-Hoong Jung, Jong-Jae Lee, and Bong-Hwan Kwon, (2006). "Online diagnosis of Induction Motors using MCSA”. IEEE Transactions on Industrial Electronics, Vol.53, No.6.

[2]. Zhongming Ye, Bin Wu and Alireza Sadeghian (2003). "Current Signature Analysis of Induction Motor Mechanical Faults by Wavelet Packet Decomposition”. IEEE Transactions on Industrial Electronics, Vol.50, No.6,

[3]. Bashir Mahdi Ebrahimi, Jawad Faiz, Lofti-Farad, and P Pillay, (2012). "Novel Indices for Broken Rotor Bar Faults Diagnosis in Induction Motors using Wavelet Transform”. Mechanical System and Signal Processing, Elsevier, Vol.30, pp.131-145.

[4]. S. Bakhri, N. Ertugrul, W.L. Soong, and S. Al-Sarawi, (2007). "Investigation and Development of a Real-Time on-line Condition Monitoring System for Induction Motor”. Australasian University Power Engineering Conference, Perth, Australia, pp.9-12.

[5]. D.K Chaturvedi, Md. Sharif Iqbal, and Mayank Pratap Singh, (2015). "Condition Monitoring of Induction motor”. International Conference on Recent Development in Control, Automation and Power Engineering (RDCAPE), pp.135-140.

[6]. William T. Thomson and Ronald J. Gilmore, (2003). "Motor Current Signature analysis to Detect Faults in Induction Motor Drives-Fundamentals, data Interpretation, and Industrial Case Histories”. Proceedings of the Thirtysecond Turbo Machinery Symposium, pp. 149-156.

[7]. Neelam Mehala, and Ratna Dahiya, (2007). "Motor Current Signature Analysis and its Application In Induction Motor Fault Diagnosis”. International Journal of System Applications, Engineering & Development, Vol.2, No. 1.

[8]. B. Hulugappa, Tajmul Pashab, and K.M Ramakrishnan, (2012). "Condition Monitoring of Induction Motor Ball Bearing using Monitoring Techniques”. International Journal of Scientific and Research Publication, Vol.2, No. 11.

[9]. Khadim Moin Siddiqui, Kuldeep Sahay, and V.K. Giri, (2014). “Health Monitoring and Fault Diagnosis in Induction Motor-A Review”. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol.3, No.1, pp.6549-6565.

[10]. Ravi C Bhavsar and R.A Patel, (2013). “Various Techniques for Condition Monitoring of Three Phase Induction Motor”. International Journal of Engineering Inventions, Vol. 3, No. 4, pp.22-26.

[11]. Tommy WS Chow and Shi Hai, (2004). “Induction Machine Fault Diagnostic Analysis with Wavelet Technique”. IEEE Transactions on Industrial Electronics, Vol.51, No.3.

[12]. Robi Polikar, (1996). The Wavelet Tutorial, Second Edition.

If you have access to this article please login to view the article or kindly login to purchase the article

Single Article

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Online	15	15

ADD TO CART

Options for accessing this content:

If you would like institutional access to this content, please recommend the title to your librarian.
If you already have i-manager's user account: Login above and proceed to purchase the article.
New Users: Please register, then proceed to purchase the article.