Condition monitoring and fault diagnosis of induction motors: A review

A Choudhary, D Goyal, SL Shimi, A Akula - Archives of Computational …, 2019 - Springer
There is a constant call for reduction of operational and maintenance costs of induction
motors (IMs). These costs can be significantly reduced if the health of the system is …

Condition monitoring and fault diagnosis of induction motor

SK Gundewar, PV Kane - Journal of Vibration Engineering & Technologies, 2021 - Springer
Background An induction motor is at the heart of every rotating machine and hence it is a
very vital component. Almost in every industry, around 90% of the machines apply an …

A data-mining approach for wind turbine fault detection based on SCADA data analysis using artificial neural networks

A Santolamazza, D Dadi, V Introna - Energies, 2021 - mdpi.com
Wind energy has shown significant growth in terms of installed power in the last decade.
However, one of the most critical problems for a wind farm is represented by Operation and …

The harmonic order tracking analysis method for the fault diagnosis in induction motors under time-varying conditions

A Sapena-Bano, J Burriel-Valencia… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
This paper introduces a new approach for improving the fault diagnosis in induction motors
under time-varying conditions. A significant amount of published approaches in this field rely …

Optimal dynamic analysis of electrical/electronic components in wind turbines

FP Garcia Marquez, A Pliego Marugan, JM Pinar Pérez… - Energies, 2017 - mdpi.com
Electrical and electronic components are very important subcomponents in modern
industrial wind turbines. Complex multimegawatt wind turbines are continuously being …

A novel adaptive model predictive control strategy for DFIG wind turbine with parameter variations in complex power systems

Y Hu, TK Chau, X Zhang, HHC Iu… - … on Power Systems, 2022 - ieeexplore.ieee.org
In this paper, a novel adaptive model predictive control (MPC) strategy is proposed for
doubly fed induction generator (DFIG) wind turbine (WT), which is integrated into a complex …

Review and perspectives of machine learning methods for wind turbine fault diagnosis

M Tang, Q Zhao, H Wu, Z Wang, C Meng… - Frontiers in Energy …, 2021 - frontiersin.org
Wind turbines (WTs) generally comprise several complex and interconnected systems, such
as hub, converter, gearbox, generator, yaw system, pitch system, hydraulic system control …

Current signature analysis to monitor DFIG wind turbine generators: A case study

E Artigao, A Honrubia-Escribano, E Gomez-Lazaro - Renewable Energy, 2018 - Elsevier
As wind energy continues to develop with increasing wind turbine power capacities often
deployed offshore, reducing operation and maintenance costs have become a critical …

An MPC-based fault tolerant control of wind turbines in the presence of simultaneous sensor and actuator faults

K Ghanbarpour, F Bayat, A Jalilvand - Computers and Electrical …, 2025 - Elsevier
In this paper, a fault-tolerant control structure is suggested in the full-load region of wind
turbine systems to compensate for the effects of both actuator and sensor faults. This method …

In-service wind turbine DFIG diagnosis using current signature analysis

E Artigao, A Honrubia-Escribano… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Operation and maintenance costs of wind power plants represent a significant share of the
total expenditure of a wind farm project. It is therefore vital to optimize maintenance activities …