Magnetic flux analysis for the condition monitoring of electric machines: A review

I Zamudio-Ramirez, RA Osornio-Rios… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Magnetic flux analysis is a condition monitoring technique that is drawing the interest of
many researchers and motor manufacturers. The great enhancements and reduction in the …

The bearing faults detection methods for electrical machines—the state of the art

MA Khan, B Asad, K Kudelina, T Vaimann, A Kallaste - Energies, 2022 - mdpi.com
Electrical machines are prone to faults and failures and demand incessant monitoring for
their confined and reliable operations. A failure in electrical machines may cause …

Evaluation of smart sensors for subway electric motor escalators through AHP-Gaussian method

RCA Pereira, OS da Silva Jr, RA de Mello Bandeira… - Sensors, 2023 - mdpi.com
This paper proposes the use of the AHP-Gaussian method to support the selection of a
smart sensor installation for an electric motor used in an escalator in a subway station. The …

Induction motor fault diagnosis using support vector machine, neural networks, and boosting methods

MC Kim, JH Lee, DH Wang, IS Lee - Sensors, 2023 - mdpi.com
Induction motors are robust and cost effective; thus, they are commonly used as power
sources in various industrial applications. However, due to the characteristics of induction …

Diagnostic of combined mechanical and electrical faults in ASD-powered induction motor using MODWT and a lightweight 1-D CNN

M Jiménez-Guarneros, C Morales-Perez… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The early fault detection in the rotary electrical machines, such as induction motors (IMs),
has been growing in modern industry. IMs have been widely used in industrial applications …

Convolutional neural network and motor current signature analysis during the transient state for detection of broken rotor bars in induction motors

M Valtierra-Rodriguez, JR Rivera-Guillen… - Sensors, 2020 - mdpi.com
Although induction motors (IMs) are robust and reliable electrical machines, they can suffer
different faults due to usual operating conditions such as abrupt changes in the mechanical …

Automatic classification of rotor faults in soft-started induction motors, based on persistence spectrum and convolutional neural network applied to stray-flux signals

V Biot-Monterde, A Navarro-Navarro… - Sensors, 2022 - mdpi.com
Due to their robustness, versatility and performance, induction motors (IMs) have been
widely used in many industrial applications. Despite their characteristics, these machines …

Faults feature extraction using discrete wavelet transform and artificial neural network for induction motor availability monitoring—internet of things enabled …

M Zuhaib, FA Shaikh, W Tanweer, AM Alnajim… - Energies, 2022 - mdpi.com
Motivation: This paper presents the high contact resistance (HCR) and rotor bar faults by an
extraction method for an induction motor using Discrete Wavelet Transform (DWT) and …

Smart sensor for fault detection in induction motors based on the combined analysis of stray-flux and current signals: A flexible, robust approach

I Zamudio-Ramírez, RA Osornio-Rios… - IEEE Industry …, 2021 - ieeexplore.ieee.org
The most recent trend in the electric motor condition monitoring area relies on combining the
information obtained from different machine quantities to reach a more reliable conclusion …

Cutting tool wear monitoring in CNC machines based in spindle-motor stray flux signals

I Zamudio-Ramírez, JA Antonino-Daviu… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Tool condition monitoring (TCM) is one of the most relevant tasks during a machining
process. The latest high-quality productivity standards make it essential to monitor the …