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 novel wind turbine fault diagnosis method based on compressed sensing and DTL-CNN

Y Zhang, W Liu, X Wang, H Gu - Renewable Energy, 2022 - Elsevier
This paper describes the development of a fault diagnosis method for identifying different
fault conditions in the rolling bearings and gears of wind turbines. For the fault signal, the …

Real-time intelligent fault diagnosis of rotating machines based on Archimedes algorithm optimised gradient boosting

O Das - Nondestructive Testing and Evaluation, 2024 - Taylor & Francis
Intelligent fault diagnostics is an essential part of the concept of Industry 4.0. Most of the
developed techniques are usually tested by the same dataset whose data is acquired under …

[PDF][PDF] Fault classification of wind turbine gearbox bearings based on convolutional neural networks

F Karpat, OC Kalay, AE Dirik, E Karpat - Transdisciplinary Journal of …, 2022 - academia.edu
Gearbox bearings are critical elements of wind power generation systems. Their stable
operation supports the power generation, thus reducing the downtime and improving the …

Application of transient analysis techniques to fault diagnosis in Low-and medium-power synchronous machines

A Navarro-Navarro, JE Ruiz-Sarrio, V Biot-Monterde… - Machines, 2023 - mdpi.com
Fault diagnosis techniques applied to synchronous motors such as Permanent Magnet
Synchronous Machines (PMSMs) and Synchronous Reluctance Machines (SynRMs) are …

[HTML][HTML] Research on small sample rolling bearing fault diagnosis method based on mixed signal processing technology

P Yu, J Zhang, B Zhang, J Cao, Y Peng - Symmetry, 2024 - mdpi.com
The diagnosis of bearing faults is a crucial aspect of ensuring the optimal functioning of
mechanical equipment. However, in practice, the use of small samples and variable …

Multi-modal Fusion Based Fault Diagnosis of Electric Vehicle Motor for Sustainable Transportation

A Choudhary, RK Mishra, S Fatima… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Electric vehicles (EVs) are essential for sustainable transportation, and various eco-friendly
vehicles are being manufactured. In EVs, the traction motor is a crucial prime mover for …

Evaluating the effect of wind turbine faults on power using the Monte Carlo method

D Biazar, H Khaloozadeh, M Siahi - Wind Energy, 2022 - Wiley Online Library
Component damage and failure in sensor or actuator will cause system faults, resulting in
reduced or lost performance. This topic has become an interesting and challenging issue …

A Diagnostic Method for the Saturable Reactor Core Looseness Degree of Thyristor Converter Valves

L Zheng, X Wei, T Sun, X Zhang - Applied Sciences, 2023 - mdpi.com
During the long-term operation of thyristor converter valves, the saturable reactor vibration
(mainly caused by magnetostriction) will lead to core looseness faults. In order to accurately …

Early fault diagnostic system for rolling bearing faults in wind turbines

L Xu, Q Wang, I Ivrissimtzis, S Li - Journal of …, 2022 - asmedigitalcollection.asme.org
The operation and maintenance costs of wind farms are always high due to high labor costs
and the high replacement cost of parts. Thus, it is of great importance to have real-time …