The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings
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Citations
Cites
Gradient-based learning applied to document recognition
Lecun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998) · Proceedings of the IEEE · doi:10.1109/5.726791 · Cited by 58,805
Training Products of Experts by Minimizing Contrastive Divergence
Hinton, G. E. (2002) · Neural Computation · doi:10.1162/089976602760128018 · Cited by 4,879
Support vector machine in machine condition monitoring and fault diagnosis
Widodo, A., & Yang, B.-S. (2007) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2006.12.007 · Cited by 1,650
BAYDAR, N., & BALL, A. (2001) · Mechanical Systems and Signal Processing · doi:10.1006/mssp.2000.1338 · Cited by 323
Cited by
Deep learning and its applications to machine health monitoring
Zhao, R., Yan, R., Chen, Z., Mao, K., Wang, P., & Gao, R. X. (2019) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2018.05.050 · Cited by 2,894
A new convolutional neural network-based data-driven fault diagnosis method
Wen, L., Li, X., Gao, L., & Zhang, Y. (2018) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2774777 · Cited by 2,222
Artificial intelligence for fault diagnosis of rotating machinery: A review
Liu, R., Yang, B., Zio, E., & Chen, X. (2018) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2018.02.016 · Cited by 2,188
Deep learning for smart manufacturing: Methods and applications
Wang, J., Ma, Y., Zhang, L., Gao, R. X., & Wu, D. (2018) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2018.01.003 · Cited by 1,740
Zhang, W., Li, C., Peng, G., Chen, Y., & Zhang, Z. (2018) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2017.06.022 · Cited by 1,421
Metadata
- Authors
- Gan, M., Wang, C., & Zhu, C.
- Venue
- Mechanical Systems and Signal Processing
- Publisher
- Elsevier BV
- Published
- 2016-05
- Volume
- 72-73
- Pages
- 92-104
- ISSN
- 0888-3270 (ISSN-L)
- OpenAlex
- W2184192902
- Cited by
- 550
- References
- 4
- FWCI
- 35.57
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- This page
- CoChat. (2026). Citation check: Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings. https://app.cochat.ai/papers/10.1016/j.ymssp.2015.11.014
- The paper
- Gan, M., Wang, C., & Zhu, C. (2016). Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings. Mechanical Systems and Signal Processing. https://doi.org/10.1016/j.ymssp.2015.11.014
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
