The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning
Abstract
We develop a novel deep learning framework to achieve highly accurate machine fault diagnosis using transfer learning to enable and accelerate the training of deep neural network. Compared with existing methods, the proposed method is faster to train and more accurate. First, original sensor data are converted to images by conducting a Wavelet transformation to obtain time-frequency distributions. Next, a pretrained network is used to extract lower level features. The labeled time-frequency images are then used to fine-tune the higher levels of the neural network architecture. This paper creates a machine fault diagnosis pipeline and experiments are carried out to verify the effectiveness and generalization of the pipeline on three main mechanical datasets including induction motors, gearboxes, and bearings with sizes of 6000, 9000, and 5000 time series samples, respectively. We achieve state-of-the-art results on each dataset, with most datasets showing test accuracy near 100%, and in the gearbox dataset, we achieve significant improvement from 94.8% to 99.64%. We created a repository including these datasets located at mlmechanics.ics.uci.edu.
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Self-citationTime-Frequency Signal Analysis and Processing
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Cited by
Applications of machine learning to machine fault diagnosis: A review and roadmap
Lei, Y., Yang, B., Jiang, X., Jia, F., Li, N., & Nandi, A. K. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2019.106587 · Cited by 2,997
Zhao, Z., Li, T., Wu, J., Sun, C., Wang, S., Yan, R., & Chen, X. (2020) · ISA Transactions · doi:10.1016/j.isatra.2020.08.010 · Cited by 688
Self-citationFink, O., Wang, Q., Svensén, M., Dersin, P., Lee, W.-J., & Ducoffe, M. (2020) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2020.103678 · Cited by 549
Shao, H., Xia, M., Han, G., Zhang, Y., & Wan, J. (2021) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.3005965 · Cited by 452
Fault Description Based Attribute Transfer for Zero-Sample Industrial Fault Diagnosis
Feng, L., & Zhao, C. (2021) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.2988208 · Cited by 395
Metadata
- Authors
- Shao, S., McAleer, S., Yan, R., & Baldi, P.
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2019-04
- Volume
- 15
- Issue
- 4
- Pages
- 2446-2455
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W2887782657
- Cited by
- 1,635
- References
- 29
- FWCI
- 52.75
- Type
- journal article
- Language
- en
- Open access
- closed
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- Shao, S., McAleer, S., Yan, R., & Baldi, P. (2019). Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2018.2864759
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