Open AccessStator inter‐turn faults diagnosis in induction motors using zero‐sequence signal injection
Author(s) -
Otero Marcial,
Barrera Pablo M.,
Bossio Guillermo R.,
Leidhold Roberto
Publication year - 2020
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.815
H-Index - 97
eISSN - 1751-8679
pISSN - 1751-8660
DOI - 10.1049/iet-epa.2020.0461
Subject(s) - stator , induction motor , signal (programming language) , control theory (sociology) , inverter , fault (geology) , sequence (biology) , engineering , turn (biochemistry) , computer science , electronic engineering , voltage , physics , electrical engineering , artificial intelligence , nuclear magnetic resonance , seismology , geology , biology , genetics , programming language , control (management)
This study presents a strategy for stator inter‐turn faults diagnosis in induction motors (IMs) operating under time‐variable load and time‐variable speed conditions. The strategy consists in injecting a zero‐sequence high‐frequency signal in order to analyse variations in the stator inductances. Incipient stator inter‐turn faults are detected by a simple signal processing of the derivatives of the currents. A feature of the strategy is that the zero‐sequence high‐frequency signal is generated by the inverter that feeds the machine, without modifying the standard space vector modulation of the IM‐drive. Experimental results show that faults representing <1% of the stator winding can be detected, as well as the phase location of the fault, validating this proposal.