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OpenAlex Citation Counts

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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:

Intelligent bearing fault monitoring system using support vector machine and wavelet packet decomposition for induction motors
Hari Om Vishwakarma, K. S. Sajan, Bhaskar Maheshwari, et al.
(2015), pp. 339-343
Closed Access | Times Cited: 9

Showing 9 citing articles:

Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review
Purushottam Gangsar, Rajiv Tiwari
Mechanical Systems and Signal Processing (2020) Vol. 144, pp. 106908-106908
Closed Access | Times Cited: 422
Condition Monitoring and Fault Diagnosis of Induction Motor
Swapnil Gundewar, Prasad V. Kane
Journal of Vibration Engineering & Technologies (2020) Vol. 9, Iss. 4, pp. 643-674
Closed Access | Times Cited: 119
Diagnostics of mechanical and electrical faults in induction motors using wavelet-based features of vibration and current through support vector machine algorithms for various operating conditions
Purushottam Gangsar, Rajiv Tiwari
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2019) Vol. 41, Iss. 2
Open Access | Times Cited: 34
Robust Detection of Incipient Faults in VSI-Fed Induction Motors Using Quality Control Charts
Luis Ángel García-Escudero, Óscar Duque-Pérez, Miguel A. Fernández, et al.
IEEE Transactions on Industry Applications (2016) Vol. 53, Iss. 3, pp. 3076-3085
Open Access | Times Cited: 25
Fault diagnosis and investigation techniques for induction motor
Abdelelah Almounajjed, Ashwin Kumar Sahoo, Mani Kant Kumar, et al.
International Journal of Ambient Energy (2021) Vol. 43, Iss. 1, pp. 6341-6361
Closed Access | Times Cited: 17
Diagnostics of Combined Mechanical and Electrical Faults of an Electromechanical System for Steady and Ramp-Up Speeds
Purushottam Gangsar, Manoj Chouksey, Anand Parey, et al.
Journal of Vibration Engineering & Technologies (2022) Vol. 10, Iss. 4, pp. 1431-1450
Closed Access | Times Cited: 9
Detection of Broken Rotor Bars Using Multilevel Wavelet Decomposition
Shruti Prins, V P Mini, N. Mayadevi, et al.
2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI) (2018), pp. 621-626
Closed Access | Times Cited: 9
Bringing Machine Learning Predictive Models Based on Machine Learning Closer to Non-technical Users
Pablo Pico-Valencia, Oscar Vinueza-Celi, Juan A. Holgado-Terriza
Advances in intelligent systems and computing (2020), pp. 3-15
Closed Access | Times Cited: 7
Induction motor stator, rotor and bearing faults: A review
Vimal M. Vaniya, Kalpesh J. Chudasama
AIP conference proceedings (2023) Vol. 2981, pp. 070006-070006
Closed Access
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