Fault diagnosis and fault-tolerant control of PMSM drives–state of the art and future challenges
The issues of monitoring and fault diagnosis of drives with permanent magnet synchronous
motors (PMSMs) are currently very relevant because of the increasing use of these drives in …
motors (PMSMs) are currently very relevant because of the increasing use of these drives in …
A comprehensive review on convolutional neural network in machine fault diagnosis
With the rapid development of manufacturing industry, machine fault diagnosis has become
increasingly significant to ensure safe equipment operation and production. Consequently …
increasingly significant to ensure safe equipment operation and production. Consequently …
[HTML][HTML] Low-head pumped hydro storage: A review of applicable technologies for design, grid integration, control and modelling
JP Hoffstaedt, DPK Truijen, J Fahlbeck… - … and Sustainable Energy …, 2022 - Elsevier
To counteract a potential reduction in grid stability caused by a rapidly growing share of
intermittent renewable energy sources within our electrical grids, large scale deployment of …
intermittent renewable energy sources within our electrical grids, large scale deployment of …
Challenges and opportunities of AI-enabled monitoring, diagnosis & prognosis: A review
Abstract Prognostics and Health Management (PHM), including monitoring, diagnosis,
prognosis, and health management, occupies an increasingly important position in reducing …
prognosis, and health management, occupies an increasingly important position in reducing …
Multitask learning based on lightweight 1DCNN for fault diagnosis of wheelset bearings
In recent years, deep learning has been proved to be a promising bearing fault diagnosis
technology. However, most of the existing methods are based on single-task learning. Fault …
technology. However, most of the existing methods are based on single-task learning. Fault …
Applied AI in instrumentation and measurement: The deep learning revolution
M Khanafer, S Shirmohammadi - IEEE Instrumentation & …, 2020 - ieeexplore.ieee.org
In the last few years, hardly a day goes by that we do not hear about the latest
advancements and improvements that Artificial Intelligence (AI) has brought to a wide …
advancements and improvements that Artificial Intelligence (AI) has brought to a wide …
A review on rolling bearing fault signal detection methods based on different sensors
G Wu, T Yan, G Yang, H Chai, C Cao - Sensors, 2022 - mdpi.com
As a precision mechanical component to reduce friction between components, the rolling
bearing is widely used in many fields because of its slight friction loss, strong bearing …
bearing is widely used in many fields because of its slight friction loss, strong bearing …
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 …
Faults and diagnosis methods of permanent magnet synchronous motors: A review
Y Chen, S Liang, W Li, H Liang, C Wang - Applied Sciences, 2019 - mdpi.com
Permanent magnet synchronous motors (PMSM) have been used in a lot of industrial fields.
In this paper, a review of faults and diagnosis methods of PMSM is presented. Firstly, the …
In this paper, a review of faults and diagnosis methods of PMSM is presented. Firstly, the …
On Bayesian optimization-based residual CNN for estimation of inter-turn short circuit fault in PMSM
Q Song, M Wang, W Lai, S Zhao - IEEE Transactions on Power …, 2022 - ieeexplore.ieee.org
Interturn short circuit (ITSC) fault diagnosis at its early stage is very essential to improve the
security of permanent magnet synchronous motors. In this article, a Bayesian optimization …
security of permanent magnet synchronous motors. In this article, a Bayesian optimization …