[HTML][HTML] A public data-set for synchronous motor electrical faults diagnosis with CNN and LSTM reference classifiers

Z Sun, R Machlev, Q Wang, J Belikov, Y Levron… - Energy and AI, 2023 - Elsevier
In the last two decades, motor operation monitoring tools have become a necessity, and
many studies focus on the detection and diagnosis of motor electrical faults. However, at …

Analytical modeling, analysis and diagnosis of external rotor PMSM with stator winding unbalance fault

A Belkhadir, R Pusca, D Belkhayat, R Romary, Y Zidani - Energies, 2023 - mdpi.com
Multiple factors and consequences may lead to a stator winding fault in an external rotor
permanent magnet synchronous motor that can unleash a complete system shutdown and …

Short-circuit fault diagnosis on induction motors through electric current phasor analysis and fuzzy logic

JA Reyes-Malanche, FJ Villalobos-Pina… - Energies, 2023 - mdpi.com
Online monitoring of induction motors has increased significantly in recent years because
these devices are essential components of any industrial process. Incipient fault detection in …

Diagnosis and fault-tolerant control of permanent magnet synchronous motors with interturn short-circuit fault

J Zhang, W Zhan, M Ehsani - IEEE Transactions on Control …, 2023 - ieeexplore.ieee.org
In this brief, a hidden Markov model (HMM) is used to diagnose the severity of permanent
magnet synchronous motors (PMSMs) with interturn short-circuit (SC) fault. The fault …

[PDF][PDF] Dynamic Assessment and Control of a Dual Star Induction Machine State Dedicated to an Electric Vehicle Under Short-Circuit Defect

B Benbouya, H Cheghib, M Behim… - … Journal of Robotics …, 2024 - researchgate.net
The technological landscape has witnessed the emergence of a specialized machine known
as the dual star induction machine (DSIM)[1]-[3]. This machine, characterized by its …

Research on fault diagnosis of multi-mode electromechanical compound transmission system for hybrid electric vehicle based on global analytical redundancy …

K Zhang, S Wang, D Shi, C Yin, Y Shi, H Huang - Energy, 2024 - Elsevier
In order to effectively monitor the operational status and detect faults within a hybrid electric
vehicle during mode transitions, this study focuses on a specific power-split hybrid electric …

A deep residual neural network model for synchronous motor fault diagnostics

SI Evangeline, S Darwin, EFI Raj - Applied Soft Computing, 2024 - Elsevier
Synchronous motors play a significant role in a wide range of industrial applications. Their
reliable operation is paramount. Any faults in synchronous motors can lead to costly …

Fault Diagnosis of PMSMs Based on Image Features of Multi-Sensor Fusion

J Wang, J Ma, D Meng, X Zhao, K Zhang - Sensors, 2023 - mdpi.com
Permanent magnet synchronous motors (PMSMs) are extensively utilized in production and
manufacturing fields due to their wide speed range, high output torque, fast speed response …

Inter-turn Short Circuit Diagnosis of Permanent Magnet Synchronous Motor Based on Siamese Convolutional Neural Network under Small Fault Samples

X Wu, Y Geng, ML Li, W Wang, M Tu - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Inter-turn short circuit (ITSC) fault is the most common and harmful fault of permanent
magnet synchronous motor (PMSM). Preventing from subsequent severe damage to the …

[HTML][HTML] Short-Circuit Fault Diagnosis on the Windings of Three-Phase Induction Motors through Phasor Analysis and Fuzzy Logic

JA Reyes-Malanche, E Ramirez-Velasco… - Energies, 2024 - mdpi.com
An induction motor is an electric machine widely used in various industrial and commercial
applications due to its efficiency and simple design. In this regard, a methodology based on …