Open AccessBroken rotor bar fault detection of the grid and inverter‐fed induction motor by effective attenuation of the fundamental component
Author(s) -
Asad Bilal,
Vaimann Toomas,
Belahcen Anouar,
Kallaste Ants,
Rassõlkin Anton,
Iqbal Muhammad Naveed
Publication year - 2019
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
ISSN - 1751-8679
DOI - 10.1049/iet-epa.2019.0350
Subject(s) - induction motor , stator , inverter , fault detection and isolation , control theory (sociology) , harmonics , rotor (electric) , computer science , fault (geology) , electronic engineering , engineering , voltage , electrical engineering , actuator , control (management) , artificial intelligence , seismology , geology
Since electrical machines are the largest consumer of electricity worldwide, their fault diagnostic at the incipient stage and condition monitoring is essential for better reliability, economy, and safety of operation. Out of several condition monitoring techniques, motor current signature analysis is gaining heightened popularity because of its non‐invasive nature, the least number of sensors required and versatility of compatible algorithms. In this study, the best characteristics of infinite impulse response (IIR) filter are exploited to observe the broken rotor bar (BRB) frequencies with good legibility in current and voltage spectrum of the grid and inverter‐fed motor, respectively. The causes of various harmonics in the stator current spectrum are first investigated for better understanding. The results are taken based on simulation and measurements taken from the laboratory setup. It is observed that a better tuning of IIR filters can make diagnostic algorithms capable of detecting the frequencies of interest by effectively attenuating the fundamental component and reducing its spectral leakage. Moreover, in case of direct torque control‐based industrial inverter‐fed motors, the current cannot be a good candidate for fault diagnostics rather the phase voltage can be effectively used for the detection of BRBs.