Fault Detection using Discrete Wavelet Transform

Version 1.0.0 (32.1 KB) by ARJUN TM
Line to Ground fault analysis on a Cable connected from Electric Drive to Induction Motor
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Updated 10 Jan 2022

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This is a line to ground fault analysis on a cable connected from an electric drive to a induction motor using Discrete wavelet transform
Procedure to run the code
1) Run the simulation file "a_Simulation.slx" for fault condition or non fault condition by commenting out the fault signal box
2) Run the matlab code "b_Code_Data_Save.m" to save the corresponding data. If fault block is used in simulation, then appropriate codes should be uncommented in the .m file
3) Run the matlab code "b_Code_Wavelet.m" to get the signal decomposition of both fault and pure signal. Make sure that, previous steps are followed to save both fault and pure signal data. Different wavelets can be chosen in the wavdec function
4) Run the matlab code "d_Code_Coeff_Plotting.m" to get plotting of the decomposed coefficients
References
  • Vinayak B, Akhil & Anand K, Anjali & Gangadharan, Jagadanand. (2019). Wavelet Based Real-Time Stator Fault Detection of Inverter-Fed Induction Motor. IET Electric Power Applications. 14. 10.1049/iet-epa.2019.0273.
  • T. Hardiyanti, E. S. Ningrum and Z. Darojah, "Induction Motor Stator Fault Detection Using Discrete Wavelet Transform Based on Statistical Parameters," 2019 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation (ICAMIMIA), 2019, pp. 202-207, doi: 10.1109/ICAMIMIA47173.2019.9223372.

Cite As

ARJUN TM (2024). Fault Detection using Discrete Wavelet Transform (https://www.mathworks.com/matlabcentral/fileexchange/104830-fault-detection-using-discrete-wavelet-transform), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2020b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0