A Hybrid Signal and Model-Based Fault Diagnostic Strategy for Current Sensors in Six-Phase Sinusoidal Doubly Salient Electro-Magnetic Machines

Zhou, Xingwei, Pan, Wentao, Chang, Xiang et al. (2 more authors) (2026) A Hybrid Signal and Model-Based Fault Diagnostic Strategy for Current Sensors in Six-Phase Sinusoidal Doubly Salient Electro-Magnetic Machines. IEEE Transactions on Circuits and Systems II: Express Briefs. pp. 328-332. ISSN: 1549-7747

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy.
Dates:
  • Accepted: 15 December 2025
  • Published: 2 March 2026
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Date Deposited: 14 Jan 2026 13:10
Last Modified: 29 Jun 2026 18:00
Published Version: https://doi.org/10.1109/TCSII.2025.3646263
Status: Published
Refereed: Yes
Identification Number: 10.1109/TCSII.2025.3646263
Open Archives Initiative ID (OAI ID):

Download

Accepted Version

Filename: A_Hybrid_Signal_and_Model-Based_Fault_Diagnostic_Strategy_for_Current_Sensors_in_Six-Phase_Sinusoidal_Doubly_Salient_Electro-Magnetic_Machines.pdf

Description: A Hybrid Signal and Model-Based Fault Diagnostic Strategy for Current Sensors in Six-Phase Sinusoidal Doubly Salient Electro-Magnetic Machines

Licence: CC-BY 2.5

CLICK TO DOWNLOAD [thumbnail of A Hybrid Signal and Model-Based Fault Diagnostic Strategy for Current Sensors in Six-Phase Sinusoidal Doubly Salient Electro-Magnetic Machines]

Export

Statistics

View Altmetric information about this item.


CORE (COnnecting REpositories)