Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

RPCNNet: A Deep Learning Approach to Sense Minor Stator Winding Interturn Fault Severity in Induction Motor Under Variable Load Condition
Arup Kumar Das, Santanu Das, Arpan Kumar Pradhan, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 4, pp. 3965-3972
Closed Access | Times Cited: 12

Showing 12 citing articles:

Microcontroller-Based Embedded System for the Diagnosis of Stator Winding Faults and Unbalanced Supply Voltage of the Induction Motors
Przemysław Pietrzak, Piotr Pietrzak, Marcin Wolkiewicz
Energies (2024) Vol. 17, Iss. 2, pp. 387-387
Open Access | Times Cited: 3
An explainable deep learning approach for detection and isolation of sensor and machine faults in predictive maintenance paradigm
Aparna Sinha, Debanjan Das
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015122-015122
Closed Access | Times Cited: 6
DBF-CNN: A Double-Branch Fusion Residual CNN for Diagnosis of Induction Motor Broken Rotor Bar
Y H Shu, Wenlei Zhang, Xiangjin Song, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 6
High-Resistance Connection Fault Diagnosis of SRM Based on Multisensor Calibrated Transformer With Shifted Windows
Linghan Zhang, Juncai Song, Xiaoxian Wang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 24, pp. 30971-30983
Closed Access | Times Cited: 6
Stator winding fault detection of induction motors using fast Fourier transform on rotor slot harmonics and least square analysis of the Park's vectors
Teymoor Ghanbari, Abbas Mehraban
IET Electric Power Applications (2023) Vol. 18, Iss. 3, pp. 356-366
Open Access | Times Cited: 6
Advancing Sensor Data Integrity with Deep Learning-Based Fault Detection
N Siva Chintaiah, Modepalli Vignesh, K. V. Charan, et al.
International Research Journal of Multidisciplinary Scope (2024) Vol. 05, Iss. 02, pp. 374-386
Open Access | Times Cited: 1
Multisensor-Driven Cross-Domain Motor Fault Diagnosis Based on Multibasis Energy Pattern
Xiaofei Zhang, Xin Peng, Yinpeng Qu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 17, pp. 19660-19669
Closed Access | Times Cited: 3
Sequence Component Based Approach to Detect Faults in Induction Motor Stator Winding
Naveenkumar R. Sharma, Bhavesh R. Bhalja, O.P. Malik
IEEE Transactions on Industrial Electronics (2024) Vol. 71, Iss. 11, pp. 15054-15065
Closed Access
Machine Learning-Based Severity Assessment and Incipient Turn-to-Turn Fault Detection in Induction Motors
Naveenkumar R. Sharma, Bhavesh R. Bhalja, O.P. Malik
IEEE Transactions on Energy Conversion (2024) Vol. 40, Iss. 1, pp. 557-567
Closed Access
Time-Frequency Image Representation Aided Deep Feature Extraction-Based Grid Connected Solar PV Fault Classification Framework
Ananya Chakraborty, Ratan Mandal, Soumya Chatterjee
Applied Solar Energy (2024) Vol. 60, Iss. 2, pp. 242-254
Closed Access
Digital Twin and Deep Learning-Based Approach for Detecting Faults in Induction Motors
Emre Güçlü, İlhan Aydın, Erhan Akın
Lecture notes in networks and systems (2024), pp. 389-396
Closed Access
ITSC fault diagnosis for PMSM by using adaptive filtering and tree-structured parzen estimator optimized-automated random forest
Wei Zhang, Qiwei Xu, Longjiang Gao, et al.
Electrical Engineering (2024)
Closed Access
Page 1

Scroll to top