OOIR: Observatory of International Research

Papers

(The H4-Index of IET Electric Power Applications is 14. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)

Article	Citations
Convolutional neural network with batch normalisation for fault detection in squirrel cage induction motor	40
A review of fault diagnosis, prognosis and health management for aircraft electromechanical actuators	26
An overview of various faults detection methods in synchronous generators	25
Modelling of magnetostrictive vibration and acoustics in converter transformer	24
Application of simplified convolutional neural networks for initial stator winding fault detection of the PMSM drive using different raw signal data	23
Static and dynamic eccentricity fault diagnosis of large salient pole synchronous generators by means of external magnetic field	21
Cogging torque reduction based on segmented skewing magnetic poles with different combinations of pole‐arc coefficients in surface‐mounted permanent magnet synchronous motors	20
Extracting spatially global and local attentive features for rolling bearing fault diagnosis in electrical machines using attention stream networks	20
Advanced automation system for charging electric vehicles based on machine vision and finite element method	17
A systematic review on current research and developments on coreless axial‐flux permanent‐magnet machines	16
Robustification of fault detection algorithm in a three‐phase induction motor using MCSA for various single and multiple faults	16
Performance optimisation of a segmented outer rotor flux switching permanent magnet motor for direct drive washing machine application	16
Airgap and stray magnetic flux monitoring techniques for fault diagnosis of electrical machines: An overview	15
Study on noise and disturbance issues of generalized predictive speed control for permanent magnet synchronous machines	15
Detection of simultaneous mechanical faults in 6‐kV pumping induction motors using combined MCSA and stray flux methods	14
Fault diagnosis of oil‐immersed transformers based on the improved sparrow search algorithm optimised support vector machine	14
Effects of flux derating methods on torque production of fault‐tolerant polyphase inductiondrives	14
A novel method for transformer fault diagnosis based on refined deep residual shrinkage network	14
Modelling and vector control of dual three‐phase PMSM with one‐phase open	14
Forecasting thermal parameters for ultra‐high voltage transformers using long‐ and short‐term time‐series network with conditional mutual information	14