Advances in electrical machine, power electronic, and drive condition monitoring and fault detection: State of the art

M Riera-Guasp, JA Antonino-Daviu… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Recently, research concerning electrical machines and drives condition monitoring and fault
diagnosis has experienced extraordinarily dynamic activity. The increasing importance of …

Induction motor broken rotor bar fault detection techniques based on fault signature analysis–a review

OE Hassan, M Amer, AK Abdelsalam… - IET Electric Power …, 2018 - Wiley Online Library
The induction motor is the most popular motor in energy conversion and industrial drive
systems. This popularity is due to its robustness, low cost, and easy maintenance. Electrical …

A comprehensive review of conventional and intelligence-based approaches for the fault diagnosis and condition monitoring of induction motors

RR Kumar, M Andriollo, G Cirrincione, M Cirrincione… - Energies, 2022 - mdpi.com
This review paper looks briefly at conventional approaches and examines the intelligent
means for fault diagnosis (FD) and condition monitoring (CM) of electrical drives in detail …

Logical–linguistic model of diagnostics of electric drives with sensors support

Y Nikitin, P Božek, J Peterka - Sensors, 2020 - mdpi.com
The presented paper scientifically discusses the progressive diagnostics of electrical drives
in robots with sensor support. The AI (artificial intelligence) model proposed by the authors …

A symbolic representation approach for the diagnosis of broken rotor bars in induction motors

P Karvelis, G Georgoulas, IP Tsoumas… - IEEE Transactions …, 2015 - ieeexplore.ieee.org
One of the most common deficiencies of currently existing induction motor fault diagnosis
techniques is their lack of automatization. Many of them rely on the qualitative interpretation …

Introducing the Filtered Park's and Filtered Extended Park's Vector Approach to detect broken rotor bars in induction motors independently from the rotor slots number

KN Gyftakis, AJM Cardoso… - Mechanical Systems and …, 2017 - Elsevier
Abstract The Park's Vector Approach (PVA), together with its variations, has been one of the
most widespread diagnostic methods for electrical machines and drives. Regarding the …

Shallow versus deep neural networks in gear fault diagnosis

G Cirrincione, RR Kumar, A Mohammadi… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Accurate gear defect detection in induction machine-based systems is a fundamental issue
in several industrial applications. At this aim, shallow neural networks, ie, architectures with …

An automated thermographic image segmentation method for induction motor fault diagnosis

P Karvelis, G Georgoulas, CD Stylios… - IECON 2014-40th …, 2014 - ieeexplore.ieee.org
Eventual failures in induction machines may lead to catastrophic consequences in terms of
economic costs for the companies. The development of reliable systems for fault detection …

Diagnostics of electrical drives

IV Abramov, AI Abramov, YR Nikitin… - … on Electrical Drives …, 2015 - ieeexplore.ieee.org
The article considered diagnostics of electrical drives on the basis of induction machines.
The proposed AI model includes the description of the source of linguistic variables and …

Effectiveness of selected neural network structures based on axial flux analysis in stator and rotor winding incipient fault detection of inverter-fed induction motors

M Skowron, M Wolkiewicz, T Orlowska-Kowalska… - Energies, 2019 - mdpi.com
This paper presents a comparative study on the application of different neural network
structures to early detection of electrical faults in induction motor drives. The diagnosis …