Use of Wavelet transform for detection of rotor broken bar and vibration faults detection.
Ms. Vrushali Patil
, Prof. Dhananjay Sargar
current signature analysis, Rotor Broken bar, Vibration fault, Wavelet transform.
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.
"Use of Wavelet transform for detection of rotor broken bar and vibration faults detection.", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 7, page no.152 - 155, July-2018, Available :https://ijsdr.org/papers/IJSDR1807027.pdf
Volume 3
Issue 7,
July-2018
Pages : 152 - 155
Paper Reg. ID: IJSDR_180512
Published Paper Id: IJSDR1807027
Downloads: 000346998
Research Area: Engineering
Country: Solapur, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
