Goktas, TanerArkan, MuslumMamis, M. SalihAkin, Bilal2024-08-042024-08-042017978-1-5090-2998-32329-3721https://hdl.handle.net/11616/1041019th Annual IEEE Energy Conversion Congress and Exposition (ECCE) -- OCT 01-10, 2017 -- Cincinnati, OHThis paper presents a separation method to discern broken rotor bar fault from low frequency load torque oscillation thorough radial leakage flux spectrums in induction motors (IMs). Broken rotor bar fault can usually be detected using classical motor current based analysis (MCSA), but it may not provide reliable results since its performance depend on motor topology, stator winding and load type. Particularly, if a motor is subjected to load fluctuation, then oscillation related signatures exhibit similar behavior that of broken bar which leads misleading signatures. In this paper, radial leakage flux spectrum is exhaustively analyzed thorough a fluxgate sensor to discern these two effects in IMs. It is shown that there are some additional characteristics broken bar signatures such as 3sf(s) and (f(s)-f(r))+/- 2sf(s) in radial leakage flux which do not appear in low frequency load torque oscillation case. A 2-Dimensional (2D) finite element analysis and experiments are carried to show that using leakage flux can provide a separation method and more reliable results than classical MCSA in IMs.eninfo:eu-repo/semantics/closedAccessBroken rotor barfault diagnosisfluxgate sensorsleakage fluxload torque oscillationConference Object31653170WOS:000426847403068N/A