Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review
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 …
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 …
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
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 …
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
Induction machines (IMs) play a critical role in various industrial processes but are
susceptible to degenerative failures, such as broken rotor bars. Effective diagnostic …
susceptible to degenerative failures, such as broken rotor bars. Effective diagnostic …
Methods of condition monitoring and fault detection for electrical machines
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 …
applications. Eventually, various failures occur in long-term continuous operation. Due to the …
Fault diagnosis of rotating electrical machines using multi-label classification
Fault Detection and Diagnosis of electrical machine and drive systems are of utmost
importance in modern industrial automation. The widespread use of Machine Learning …
importance in modern industrial automation. The widespread use of Machine Learning …
Modified winding function‐based model of squirrel cage induction motor for fault diagnostics
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 …
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
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 …
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
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 …
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 …
accurate models that can reproduce the fault related harmonics generated by different kinds …