A review on drive train technologies for passenger electric vehicles
Transportation is the second-largest sector contributing to greenhouse gas emissions due to
CO2 gas generation from the combustion of fossil fuels. Electric vehicles (EVs) are believed …
CO2 gas generation from the combustion of fossil fuels. Electric vehicles (EVs) are believed …
A comprehensive review for battery electric vehicles (BEV) drive circuits technology, operations, and challenges
Electric vehicles (EVs) are gaining more and more traction as a viable option in the
automotive sector. This mode of transportation is currently on track, according to current …
automotive sector. This mode of transportation is currently on track, according to current …
Multi-input CNN based vibro-acoustic fusion for accurate fault diagnosis of induction motor
Induction motor (IM) is a highly efficient prime mover in industrial applications. To maintain
an uninterrupted operation, accurate fault diagnosis system of IM is required. It can help to …
an uninterrupted operation, accurate fault diagnosis system of IM is required. It can help to …
Advancements in condition monitoring and fault diagnosis of rotating machinery: A comprehensive review of image-based intelligent techniques for induction motors
Recently, condition monitoring (CM) and fault detection and diagnosis (FDD) techniques for
rotating machinery (RM) have witnessed substantial advancements in recent decades …
rotating machinery (RM) have witnessed substantial advancements in recent decades …
A review to diagnose faults related to three-phase industrial induction motors
The induction motor is one of the essential components of the industry. In industrial
applications, the controllability, protection, and reliability of induction motors are of major …
applications, the controllability, protection, and reliability of induction motors are of major …
A noise invariant method for bearing fault detection and diagnosis using adapted local binary pattern (ALBP) and short-time Fourier transform (STFT)
This study proposes a new method for bearing Fault Detection and Diagnosis (FDD) in Belt
Starter Generators (BSGs) using vibration signals. The Adapted Local Binary Pattern (ALBP) …
Starter Generators (BSGs) using vibration signals. The Adapted Local Binary Pattern (ALBP) …
A hybrid approach based on principal component analysis for power quality event classification using support vector machines
A Saxena, AM Alshamrani, AF Alrasheedi… - Mathematics, 2022 - mdpi.com
Power quality has emerged as a sincere denominator in the planning and operation of a
power system. Various events affect the quality of power at the distribution end of the system …
power system. Various events affect the quality of power at the distribution end of the system …
Adaptive VMD–K-SVD-Based Rolling Bearing Fault Signal Enhancement Study
M Mao, K Zeng, Z Tan, Z Zeng, Z Hu, X Chen, C Qin - Sensors, 2023 - mdpi.com
To address the challenges associated with nonlinearity, non-stationarity, susceptibility to
redundant noise interference, and the difficulty in extracting fault feature signals from rolling …
redundant noise interference, and the difficulty in extracting fault feature signals from rolling …
Diagnosis of broken rotor bars during the startup of inverter-fed induction motors using the dragon transform and functional ANOVA
V Fernandez-Cavero, LA García-Escudero… - Applied Sciences, 2021 - mdpi.com
A proper diagnosis of the state of an induction motor is of great interest to industry given the
great importance of the extended use of this motor. Presently, the use of this motor driven by …
great importance of the extended use of this motor. Presently, the use of this motor driven by …
Bearing fault detection and recognition from supply currents with decision trees
This paper considers the tasks of detecting and recognizing bearing faults in electric motors
from the signals collected from supply currents, using machine learning techniques. In …
from the signals collected from supply currents, using machine learning techniques. In …