Condition monitoring and fault diagnosis of induction motor
SK Gundewar, PV Kane - Journal of Vibration Engineering & Technologies, 2021 - Springer
Background An induction motor is at the heart of every rotating machine and hence it is a
very vital component. Almost in every industry, around 90% of the machines apply an …
very vital component. Almost in every industry, around 90% of the machines apply an …
[HTML][HTML] Data-driven fault diagnosis for electric drives: A review
The need to manufacture more competitive equipment, together with the emergence of the
digital technologies from the so-called Industry 4.0, have changed many paradigms of the …
digital technologies from the so-called Industry 4.0, have changed many paradigms of the …
CAD system for inter-turn fault diagnosis of offshore wind turbines via multi-CNNs & feature selection
Condition monitoring, fault diagnosis, and scheduled maintenance of wind turbines (WTs)
are becoming a necessity to maximize their economic benefits and reduce their downtime …
are becoming a necessity to maximize their economic benefits and reduce their downtime …
Detection of permanent magnet damage of PMSM drive based on direct analysis of the stator phase currents using convolutional neural network
M Skowron, T Orlowska-Kowalska… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Permanent magnet synchronous motors (PMSMs) due to their numerous advantages, such
as simple and compact design, easy production and high power-to-weight ratio, high power …
as simple and compact design, easy production and high power-to-weight ratio, high power …
PMSM stator winding fault detection and classification based on bispectrum analysis and convolutional neural network
P Pietrzak, M Wolkiewicz… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The diagnosis of permanent magnet synchronous motor (PMSM) faults has been the subject
of much research in recent years, due to the growing reliability and safety requirements for …
of much research in recent years, due to the growing reliability and safety requirements for …
Review on prognostics and health management in smart factory: From conventional to deep learning perspectives
At present, the fourth industrial revolution is pushing factories toward an intelligent,
interconnected grid of machinery, communication systems, and computational resources …
interconnected grid of machinery, communication systems, and computational resources …
A fuzzy system of operation safety assessment using multimodel linkage and multistage collaboration for in-wheel motor
H Xue, D Ding, Z Zhang, M Wu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
To simultaneously monitor some electrical or mechanical faults of an in-wheel motor and
intelligently evaluate the operation safety, in this article, a fuzzy system of operation safety …
intelligently evaluate the operation safety, in this article, a fuzzy system of operation safety …
[HTML][HTML] Inverter-Fed Motor Drive System: A Systematic Analysis of Condition Monitoring and Practical Diagnostic Techniques
Due to their efficiency and control capabilities, induction motors fed with inverters have
become prevalent in various industrial applications. However, ensuring the reliable …
become prevalent in various industrial applications. However, ensuring the reliable …
[HTML][HTML] Fault diagnosis for induction generator-based wind turbine using ensemble deep learning techniques
Fault diagnosis in induction machines (IM) require effective detection at early stages to
prevent permanent machine failure. This requires fast sensing of disturbances as well as …
prevent permanent machine failure. This requires fast sensing of disturbances as well as …
[HTML][HTML] Comparison of selected methods for the stator winding condition monitoring of a PMSM using the stator phase currents
P Pietrzak, M Wolkiewicz - Energies, 2021 - mdpi.com
Stator winding faults are one of the most common faults of permanent magnet synchronous
motors (PMSMs), and searching for methods to efficiently detect this type of fault and at an …
motors (PMSMs), and searching for methods to efficiently detect this type of fault and at an …