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 …
Critical design and control issues of indoor autonomous mobile robots: A review
Robots that can move autonomously and can make intelligent decisions by perceiving their
environments and surrounding objects are known as autonomous mobile robots. Such …
environments and surrounding objects are known as autonomous mobile robots. Such …
Demagnetization fault diagnosis of permanent magnet synchronous motors based on stator current signal processing and machine learning algorithms
P Pietrzak, M Wolkiewicz - Sensors, 2023 - mdpi.com
Reliable fault diagnosis and condition monitoring are essential for permanent magnet
synchronous motor (PMSM) drive systems with high-reliability requirements. PMSMs can be …
synchronous motor (PMSM) drive systems with high-reliability requirements. PMSMs can be …
Fault detection and diagnosis of the electric motor drive and battery system of electric vehicles
Fault detection and diagnosis (FDD) is of utmost importance in ensuring the safety and
reliability of electric vehicles (EVs). The EV's power train and energy storage, namely the …
reliability of electric vehicles (EVs). The EV's power train and energy storage, namely the …
Bridging the gap between AI and the industry—A study on bearing fault detection in PMSM-driven systems using CNN and inverter measurement
PN Mueller, L Woelfl, S Can - Engineering Applications of Artificial …, 2023 - Elsevier
Deep-learning-based identification and diagnosis of faults in industrial assets has received
much attention. It does not need a deep understanding of the target domain or complex …
much attention. It does not need a deep understanding of the target domain or complex …
Microgrid to smart grid's evolution: Technical challenges, current solutions, and future scopes
Renewable energy (RE) sources play an important role that not only reduces the pressure
on fossil fuels but also produces safe and clean energy by developing the microgrid (MG) …
on fossil fuels but also produces safe and clean energy by developing the microgrid (MG) …
A novel indicator-based online diagnostics technique of interturn short-circuit faults in synchronous reluctance machines
In recent years, the adoption of synchronous reluctance machine (SynRM) drives for safety-
critical equipment has witnessed notorious growth. The difficulties inherent to monitoring …
critical equipment has witnessed notorious growth. The difficulties inherent to monitoring …
Sensor fault diagnosis method based on rotor slip applied to induction motor drive
A novel diagnosis method based on the rotor slip is proposed in the paper to correctly detect
current and speed sensor failures during the induction motor drive (IMD) operation. In order …
current and speed sensor failures during the induction motor drive (IMD) operation. In order …
Robust active learning multiple fault diagnosis of PMSM drives with sensorless control under dynamic operations and imbalanced datasets
S Attestog, JSL Senanayaka… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This article proposes an active learning scheme to detect multiple faults in permanent
magnet synchronous motors in dynamic operations without using historical labelled faulty …
magnet synchronous motors in dynamic operations without using historical labelled faulty …
Implementation of mlp-based classifier of current sensor faults in vector-controlled induction motor drive
This article deals with the neural networks (NN)-based classification of current sensor (CS)
faults in an induction motor drive system designed according to the idea of fault-tolerant …
faults in an induction motor drive system designed according to the idea of fault-tolerant …