TY - JOUR
TI - Dynamic and static eccentricity detection in induction
	motors in transient states
AU - Wroński, Wojciech
AU - Sułowicz, Maciej
AU - Dziechciarz, Arkadiusz
TI - Dynamic and static eccentricity detection in induction
	motors in transient states
AB - 
	The following paper presents possibilities for the application of selected time-frequency analysis methods in the fault detection of cage induction machines in transient states. The starting phase current of the machine was chosen as a diagnostic signal. Selected faults were eccentricities – static and dynamic. In order to increase the selectivity of the obtained signal transformations, a notch filter was used to remove the base harmonic of the phase current. Two approaches of fault detection were compared. In the first approach, the characteristic feature of fault was extracted using DWT analysis. Next, TMCSA methodology was applied in which characteristic harmonics related to faults were shown on a time-frequency plane. In this case, applied methods were a Gabor transformation, STFT, CWT and Wigner–Ville’s transformation. In the analysis, a phase current signal approximated by DWT was used. DWT approximation was applied to filter higher harmonics which improves the resolution of the obtained transformations.
VL - 2015
IS - Elektrotechnika Zeszyt 2-E (13) 2015
PY - 2016
SN - 0011-4561
C1 - 2353-737X
SP - 171
EP - 194
DO - 10.4467/2353737XCT.15.095.3927
UR - https://ejournals.eu/czasopismo/czasopismo-techniczne/artykul/dynamic-and-static-eccentricity-detection-in-induction-motors-in-transient-states
KW - cage induction motor fault detection
KW - TMCSA
KW - time-frequency methods
KW - Notch filter
KW - transient phase current
KW - dynamic and static eccentricity
KW - voltage asymmetry