International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 112 | Views: 210

Review Papers | Electronics & Communication Engineering | India | Volume 4 Issue 4, April 2015 | Rating: 7 / 10


A Survey Paper on FPGA-Based Broken Bar Detection of Induction Motor Using Motor Current Signature Analysis

Manoj B. Pavale | K. J. Amrutkar


Abstract: Preventive maintenance is one of the major concerns in modern industry where failure detection on motors increases the useful life cycle on the machinery. Broken rotor bars are among the most common failures in induction motors. Differentmethodologies based on current and vibration monitoring have been proposed using FFT and wavelet analysis for preventive monitoring of induction motors resulting in countless techniques for diagnosing specific faults, arising the necessity for a generalized technique that allows multiple fault detection. The paper is focused on the so-called motor current signature analysis (MCSA) which utilizes the results of spectral analysis of the stator current. MCSA techniques include parametric and nonparametric spectrum analysis methods of motor current in general. The novelty of this paper is the tutorial overview of an automatic online diagnosis algorithm for broken-rotor-bar detection, optimized for single low-cost field-programmable gate-array (FPGA) implementation, which guarantees the development of economical self-operated equipment.


Keywords: Induction motor, motor current signature analysis, fast fourier transform


Edition: Volume 4 Issue 4, April 2015,


Pages: 2836 - 2840


How to Download this Article?

Type Your Valid Email Address below to Receive the Article PDF Link


Verification Code will appear in 2 Seconds ... Wait

Top