
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:
Using transformer and a reweighting technique to develop a remaining useful life estimation method for turbofan engines
Gyeongho Kim, Jae Gyeong Choi, Sunghoon Lim
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108475-108475
Closed Access | Times Cited: 7
Gyeongho Kim, Jae Gyeong Choi, Sunghoon Lim
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108475-108475
Closed Access | Times Cited: 7
Showing 7 citing articles:
Developing a deep learning-based uncertainty-aware tool wear prediction method using smartphone sensors for the turning process of Ti-6Al-4V
Gyeongho Kim, Sang Min Yang, Dong Min Kim, et al.
Journal of Manufacturing Systems (2024) Vol. 76, pp. 133-157
Closed Access | Times Cited: 3
Gyeongho Kim, Sang Min Yang, Dong Min Kim, et al.
Journal of Manufacturing Systems (2024) Vol. 76, pp. 133-157
Closed Access | Times Cited: 3
A hybrid prognostic framework: Stochastic degradation process with adaptive trajectory learning to transfer historical health knowledge
Fanping Wei, Longyan Tan, Xiaobing Ma, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112171-112171
Closed Access | Times Cited: 2
Fanping Wei, Longyan Tan, Xiaobing Ma, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112171-112171
Closed Access | Times Cited: 2
Fisher-informed continual learning for remaining useful life prediction of machining tools under varying operating conditions
Gyeongho Kim, Yun Seok Kang, Sang Min Yang, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110549-110549
Closed Access | Times Cited: 1
Gyeongho Kim, Yun Seok Kang, Sang Min Yang, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110549-110549
Closed Access | Times Cited: 1
Remaining Useful Life Prediction of Aero-Engine Based on KSFA-GMM-BID-Improved Autoformer
Jiashun Wei, Zhiqiang Li, Yang Li, et al.
Electronics (2024) Vol. 13, Iss. 14, pp. 2741-2741
Open Access
Jiashun Wei, Zhiqiang Li, Yang Li, et al.
Electronics (2024) Vol. 13, Iss. 14, pp. 2741-2741
Open Access
Multi-Head Self-Attention-Based Fully Convolutional Network for RUL Prediction of Turbofan Engines
Zhaofeng Liu, Xiaoqing Zheng, Anke Xue, et al.
Algorithms (2024) Vol. 17, Iss. 8, pp. 321-321
Open Access
Zhaofeng Liu, Xiaoqing Zheng, Anke Xue, et al.
Algorithms (2024) Vol. 17, Iss. 8, pp. 321-321
Open Access
A Comprehensive Review of Remaining Useful Life Estimation Approaches for Rotating Machinery
Shahil Kumar, Krish Kumar Raj, Maurizio Cirrincione, et al.
Energies (2024) Vol. 17, Iss. 22, pp. 5538-5538
Open Access
Shahil Kumar, Krish Kumar Raj, Maurizio Cirrincione, et al.
Energies (2024) Vol. 17, Iss. 22, pp. 5538-5538
Open Access
Systematic Review of Bearing Component Failure: Strategies for Diagnosis and Prognosis in Rotating Machinery
Komandur S. Sunder Raj, Shahil Kumar, Rahul Kumar
Arabian Journal for Science and Engineering (2024)
Closed Access
Komandur S. Sunder Raj, Shahil Kumar, Rahul Kumar
Arabian Journal for Science and Engineering (2024)
Closed Access