Projects per year
Fingerprint
The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
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Projects
- 1 Active
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Experimental study and physics informed machine learning towards real-time system identification of machining spindles
USDOC NATL INST OF STANDARDS AND TECH (N
10/1/20 → 9/30/22
Project: Research project
Research output
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A domain adaptation model for early gear pitting fault diagnosis based on deep transfer learning network
Li, J., Li, X., He, D. & Qu, Y., Feb 1 2020, In: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 234, 1, p. 168-182 15 p.Research output: Contribution to journal › Article › peer-review
13 Scopus citations -
A novel diagnostic scheme for gear pitting fault using fiber bragg grating based strain sensors
Shi, S., Hong, L., Qu, Y. & Zhou, Z., Oct 2020, Proceedings - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020. Li, C., Gjorgjevikj, D., Yang, Z. & Pu, Z. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 385-390 6 p. 9296628. (Proceedings - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Gear pitting fault diagnosis with mixed operating conditions based on adaptive 1D separable convolution with residual connection
Li, X., Li, J., Zhao, C., Qu, Y. & He, D., Aug 2020, In: Mechanical Systems and Signal Processing. 142, 106740.Research output: Contribution to journal › Article › peer-review
10 Scopus citations -
Semi-supervised gear fault diagnosis using raw vibration signal based on deep learning
LI, X., LI, J., QU, Y. & HE, D., Feb 2020, In: Chinese Journal of Aeronautics. 33, 2, p. 418-426 9 p.Research output: Contribution to journal › Article › peer-review
Open Access15 Scopus citations -
Unsupervised rotating machinery fault diagnosis method based on integrated SAE–DBN and a binary processor
Li, J., Li, X., He, D. & Qu, Y., Dec 2020, In: Journal of Intelligent Manufacturing. 31, 8, p. 1899-1916 18 p.Research output: Contribution to journal › Article › peer-review
5 Scopus citations