Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review

P Gangsar, R Tiwari - Mechanical systems and signal processing, 2020 - Elsevier
Uninterrupted and trouble-free operation of induction motors (IMs) is the compulsion of the
modern industries. Firstly, the paper reviews the conventional time and spectrum signal …

A review of techniques used for induction machine fault modelling

C Terron-Santiago, J Martinez-Roman… - Sensors, 2021 - mdpi.com
Over the years, induction machines (IMs) have become key components in industry
applications as mechanical power sources (working as motors) as well as electrical power …

Diagnosis of induction motor faults using the motor current normalized residual harmonic analysis method

A Allal, A Khechekhouche - International Journal of Electrical Power & …, 2022 - Elsevier
Induction motors are susceptible to many types of faults that can become catastrophic and
cause production stoppages. To predict emerging faults and avoid an unexpected failure, an …

A comparative analysis of deep learning convolutional neural network architectures for fault diagnosis of broken rotor bars in induction motors

K Barrera-Llanga, J Burriel-Valencia, Á Sapena-Bañó… - Sensors, 2023 - mdpi.com
Induction machines (IMs) play a critical role in various industrial processes but are
susceptible to degenerative failures, such as broken rotor bars. Effective diagnostic …

Methods of condition monitoring and fault detection for electrical machines

K Kudelina, B Asad, T Vaimann, A Rassõlkin… - Energies, 2021 - mdpi.com
Nowadays, electrical machines and drive systems are playing an essential role in different
applications. Eventually, various failures occur in long-term continuous operation. Due to the …

Fault diagnosis of rotating electrical machines using multi-label classification

A Dineva, A Mosavi, M Gyimesi, I Vajda, N Nabipour… - Applied Sciences, 2019 - mdpi.com
Fault Detection and Diagnosis of electrical machine and drive systems are of utmost
importance in modern industrial automation. The widespread use of Machine Learning …

Modified winding function‐based model of squirrel cage induction motor for fault diagnostics

B Asad, T Vaimann, A Belahcen… - IET Electric Power …, 2020 - Wiley Online Library
This study presents the modelling and simulation of a squirrel cage induction motor using a
modified winding function‐based method. The aim of the model is to compute the motor's …

The cluster computation-based hybrid FEM–analytical model of induction motor for fault diagnostics

B Asad, T Vaimann, A Belahcen, A Kallaste… - Applied Sciences, 2020 - mdpi.com
This paper presents a hybrid finite element method (FEM)–analytical model of a three-phase
squirrel cage induction motor solved using parallel processing for reducing the simulation …

Transient Modeling and Recovery of Non-Stationary Fault Signature for Condition Monitoring of Induction Motors

B Asad, T Vaimann, A Belahcen, A Kallaste… - Applied Sciences, 2021 - mdpi.com
This paper presents the modeling and the broken rotor bar fault diagnostics by time–
frequency analysis of the motor current under an extended startup transient time. The …

Induction machine model with space harmonics for the diagnosis of rotor eccentricity, based on the convolution theorem

A Sapena-Bano, J Martinez-Roman… - International Journal of …, 2020 - Elsevier
Condition based maintenance (CBM) systems of induction machines (IMs) require fast and
accurate models that can reproduce the fault related harmonics generated by different kinds …