Title :
Broken bar detection using current analysis — A case study
Author :
Matic, D. ; Kanovic, Z. ; Reljic, Dejan ; Kulic, Filip ; Oros, Djura ; Vasic, Veran
Author_Institution :
Sub-Dept. for Autom. Control & Syst. Eng., Univ. of Novi Sad, Novi Sad, Serbia
Abstract :
This paper covers a case study of broken bar detection for 3.15 MW motor in a thermal power plant application. The motor current is measured in one phase. Feature extraction is based on transient and steady state analysis. Hilbert and Wavelet transforms are used to extract broken bar features. To discuss rotor condition in time domain skewness and kurtosis of current envelope are also considered. Low shaft-load conditions are present. In case of high-voltage, high-power induction motor reliable broken bar detection is possible when contemporary digital signal processing techniques are used.
Keywords :
Hilbert transforms; electric current measurement; feature extraction; induction motors; rotors; spectral analysis; thermal power stations; wavelet transforms; Hilbert transforms; broken bar detection; current analysis; digital signal processing; feature extraction; induction motor; motor current measurement; power 3.15 MW; rotor condition; steady state analysis; thermal power plant; time domain skewness; wavelet transforms; Bars; Educational institutions; Fault detection; Feature extraction; Induction motors; Rotors; Transforms; Hilbert transform; Wavelet transform; broken bar; induction motor; rotor fault;
Conference_Titel :
Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), 2013 9th IEEE International Symposium on
Conference_Location :
Valencia
DOI :
10.1109/DEMPED.2013.6645748
