[HTML][HTML] Modulation characteristics of multi-physical fields induced by air–gap eccentricity faults for typical rotating machine

Z Liu, Y Song, J Liu, L Zhang, B Huang, D Wu… - Alexandria Engineering …, 2023 - Elsevier
Air-gap eccentricity is one of the common faults of typical rotating machine, which results in a
dynamic instability state of multi-physical fields. To investigate the muti-physical instabilities …

Analysis of stator and rotor currents and torque of induction machine with rotor-bar faults

L Schreier, J Bendl, M Chomat - Electrical Engineering, 2021 - Springer
The paper analyzes a case of the induction motor in which one or more rotor bars in the rotor
cage are broken. The method of space vectors and symmetrical components of …

Multivariate Kernel Density Estimation Performance in Detecting Abnormalities in Three-Phase Induction Motors With a Focus on Optimizing Kernel and Bandwidth

J Choi, S Im - IEEE Access, 2024 - ieeexplore.ieee.org
In this study, we focus on the application of anomaly detection for three-phase induction
motors using current data, a crucial aspect of predictive maintenance technologies …

Detection and classification of broken rotor bars faults in induction machine using K-means classifier

I Ouachtouk, S El Hani, S Guedira… - … Conference on Electrical …, 2016 - ieeexplore.ieee.org
Diagnostics of broken rotor bars fault in induction machine can be accomplished by
analyzing the anomalies of machine local variable such as magnetic flux, stator current and …

Broken rotor bar fault detection based on stator current envelopes analysis in squirrel cage induction machine

I Ouachtouk, S El Hani, S Guedira… - … Machines and Drives …, 2017 - ieeexplore.ieee.org
The knowledge of Broken Rotor Bars (BRB) fault characteristic frequencies and amplitudes
is an absolute must in the diagnosis of Squirrel Cage Induction Machine (SCIM). In order to …

Anomaly Detection of Three-Phase Induction Motor Based on Unsupervised Learning Using Frequency Distortion Characteristics

J Choi, S Im - 2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
Anomaly detection and process monitoring are crucial technologies for controlling industrial
site processes. The application of predictive maintenance technology, which has the …

Advanced model of squirrel cage induction machine for broken rotor bars fault using multi indicators

I Ouachtouk, S El Hani, S Guedira, K Dahi… - Advances in Electrical …, 2016 - advances.vsb.cz
Squirrel cage induction machine are the most commonly used electrical drives, but like any
other machine, they are vulnerable to faults. Among the widespread failures of the induction …

Finite element 2D and 3D models of a rotor bar breakage in a squirrel-cage induction motor

V Fireţeanu, AI Constantin… - 2019 IEEE Workshop on …, 2019 - ieeexplore.ieee.org
Frequency domain and step by step in time domain finite element analyses of the
electromagnetic field in a squirrel cage inductor motor are considered for different 2D and …

Diagnosis of stator fault of Medium Voltage Induction Motors using Motor Stator Current Envelope Analysis (MSCEA)

WR Babu, CS Ravichandran - 2016 3rd International …, 2016 - ieeexplore.ieee.org
Automation in every industry is the need of hour. Almost all modern industries use Medium
Voltage Induction Motors to achieve this. Each and every industry move towards zero error …

Stator current modeling of an induction motor for rotor faults diagnosis

MEA Khodja, AH Boudinar, N Benouzza… - … and Motion Control …, 2016 - ieeexplore.ieee.org
In recent years, the diagnosis of electric motors appealed increasingly to signal processing
methods. To develop these methods, it is necessary to have a reliable mathematical model …