International Journal of Scientific Development and Research - IJSDR
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Volume 6 | Issue 3

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Paper Title: Use of Wavelet transform for detection of rotor broken bar and vibration faults detection.
Authors Name: Ms. Vrushali Patil , Prof. Dhananjay Sargar
Unique Id: IJSDR1807027
Published In: Volume 3 Issue 7, July-2018
Abstract: In industrial based applications, the machines can be improved through equipment monitoring. This reduces the risks of unexpected failures and resultant plant outages. Since all failure modes can cause an increase in machine vibrations, monitoring this area is the major and most widely used method to determine equipment condition, and to predict failures. In the proposed system, we detect two types of induction motor faults such as broken rotor bar faults and vibration faults. For the detection of broken rotor bar faults, Motor Current Signature Analysis technique is used. For broken rotor faults we measure current through transformer and for vibration faults we use ADXL 335 vibration sensor is used. From the current and vibration signal we extract characteristic frequencies and apply wavelet transform for detection of faults.
Keywords: current signature analysis, Rotor Broken bar, Vibration fault, Wavelet transform.
Cite Article: "Use of Wavelet transform for detection of rotor broken bar and vibration faults detection.", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 7, page no.152 - 155, July-2018, Available :http://www.ijsdr.org/papers/IJSDR1807027.pdf
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Publication Details: Published Paper ID: IJSDR1807027
Registration ID:180512
Published In: Volume 3 Issue 7, July-2018
DOI (Digital Object Identifier):
Page No: 152 - 155
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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