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:
A Wind Turbine Bearing Fault Detection Method Based on Improved CEEMDAN and AR-MEDA
Ilyes Djemili, Ammar Medoued, Youcef Soufı
Journal of Vibration Engineering & Technologies (2023) Vol. 12, Iss. 3, pp. 4225-4246
Closed Access | Times Cited: 6
Ilyes Djemili, Ammar Medoued, Youcef Soufı
Journal of Vibration Engineering & Technologies (2023) Vol. 12, Iss. 3, pp. 4225-4246
Closed Access | Times Cited: 6
Showing 6 citing articles:
A Novel Customised Load Adaptive Framework for Induction Motor Fault Classification Utilising MFPT Bearing Dataset
Shahd Hejazi, Michael Packianather, Ying Liu
Machines (2024) Vol. 12, Iss. 1, pp. 44-44
Open Access | Times Cited: 5
Shahd Hejazi, Michael Packianather, Ying Liu
Machines (2024) Vol. 12, Iss. 1, pp. 44-44
Open Access | Times Cited: 5
Advancing bearing fault diagnosis under variable working conditions: a CEEMDAN-SBS approach with vibro-electric signal integration
Abdel wahhab Lourari, Abdenour Soualhi, Tarak Benkedjouh
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 5-6, pp. 2753-2772
Open Access | Times Cited: 3
Abdel wahhab Lourari, Abdenour Soualhi, Tarak Benkedjouh
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 5-6, pp. 2753-2772
Open Access | Times Cited: 3
A three-stage weak fault feature extraction method considering inertia effect for rolling bearings under variable speed conditions
Jia Wang, Hui Shi, Zengshou Dong, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 47, Iss. 1
Closed Access
Jia Wang, Hui Shi, Zengshou Dong, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 47, Iss. 1
Closed Access
Diagnosis of bearing faults in wind turbine systems using vibrational signal processing and machine learning
Abderrahmane Lakikza, Hocine Cheghib, Nabil Kahoul
Diagnostyka (2024) Vol. 25, Iss. 3, pp. 1-8
Open Access
Abderrahmane Lakikza, Hocine Cheghib, Nabil Kahoul
Diagnostyka (2024) Vol. 25, Iss. 3, pp. 1-8
Open Access
A Novel Customised Load Adaptive Framework for Induction Motor Fault Classification Utilizing MFPT Bearing Dataset
Shahd Hejazi, Michael Packianather, Ying Liu
(2023)
Open Access | Times Cited: 1
Shahd Hejazi, Michael Packianather, Ying Liu
(2023)
Open Access | Times Cited: 1
Advancing Bearing Fault Diagnosis under Variable Working Conditions: A CEEMDAN-SBS Approach with Vibro-Electric Signal Integration
Abdel wahhab Lourari, Abdenour Soualhi, Tarak BENKEDJOUH
Research Square (Research Square) (2023)
Open Access
Abdel wahhab Lourari, Abdenour Soualhi, Tarak BENKEDJOUH
Research Square (Research Square) (2023)
Open Access
