Open AccessBroken Bar Fault Detection in IM Operating Under No-Load Condition
Author(s) -
Dejan Reljić,
Дејан Јеркан,
Darko Marčetić,
Djura Oros
Publication year - 2016
Publication title -
advances in electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 23
eISSN - 1844-7600
pISSN - 1582-7445
DOI - 10.4316/aece.2016.04010
Subject(s) - bar (unit) , squirrel cage rotor , induction motor , rotor (electric) , fault detection and isolation , fault (geology) , voltage , computer science , control theory (sociology) , automotive engineering , electrical engineering , engineering , physics , geology , artificial intelligence , seismology , actuator , control (management) , meteorology
This paper presents a novel method for broken rotor bar detection in a squirrel-cage induction motor (IM). The proposed method applies a single-phase AC voltage as a test signal on motor terminals, resulting in a stator backward-rotating magnetic field. The field ultimately causes additional current components in the stator windings whose magnitudes depend on the broken bar fault severity, even if the motor is unloaded. This allows robust broken bar fault detection based only on standard motor current signature analysis (MCSA) technique. The proposed fault detection method is at first verified via simulations, using an IM model based on finite element analysis (FEA) and multiple coupled circuit approach (MCCA). The subsequent experimental investigations have shown good agreement with both theoretical predictions and simulation results