JOURNAL ARTICLE

Fault Detection in an Induction Motor Drive Using Discrete Wavelet Packet Transform

Geraldine Mathew

Year: 2017 Journal:   IOSR Journal of Electrical and Electronics Engineering Vol: 12 (02)Pages: 1-06

Abstract

The aim of this study is to employ the wavelet technique for diagnosis of open-circuit and short circuit faults in the dc link of Induction motor drive.The symlet wavelet is selected as the wavelet base to perform stator current analysis during faults.In this method, the stator currents are used as an input to the system.The MATLAB software is used to process discreet wavelet transform (DWT) of the signals.The stator current is used for the detection of the fault.When an open-circuit fault or a short circuit fault appears, the signal fault information is included in each frequency region.The time of the spikes in the DWT is correlated with the time of fault.As a result of time domain & frequency studies, a faulty system can be easily discriminated from a healthy one

Keywords:
Induction motor Computer science Discrete wavelet transform Network packet Wavelet packet decomposition Control theory (sociology) Wavelet transform Wavelet Artificial intelligence Computer network Electrical engineering Control (management) Voltage Engineering

Metrics

3
Cited By
0.20
FWCI (Field Weighted Citation Impact)
11
Refs
0.49
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Machine Fault Diagnosis Techniques
Physical Sciences →  Engineering →  Control and Systems Engineering
Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Mineral Processing and Grinding
Physical Sciences →  Engineering →  Mechanical Engineering
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