Fault diagnosis and fault-tolerant control of PMSM drives–state of the art and future challenges

T Orlowska-Kowalska, M Wolkiewicz, P Pietrzak… - Ieee …, 2022 - ieeexplore.ieee.org
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 …

A comprehensive review on convolutional neural network in machine fault diagnosis

J Jiao, M Zhao, J Lin, K Liang - Neurocomputing, 2020 - Elsevier
With the rapid development of manufacturing industry, machine fault diagnosis has become
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 …

Challenges and opportunities of AI-enabled monitoring, diagnosis & prognosis: A review

Z Zhao, J Wu, T Li, C Sun, R Yan, X Chen - Chinese Journal of Mechanical …, 2021 - Springer
Abstract Prognostics and Health Management (PHM), including monitoring, diagnosis,
prognosis, and health management, occupies an increasingly important position in reducing …

Multitask learning based on lightweight 1DCNN for fault diagnosis of wheelset bearings

Z Liu, H Wang, J Liu, Y Qin… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …

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 …

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 …

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 …

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 …

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 …