An end-to-end denoising autoencoder-based deep neural network approach for fault diagnosis of analog circuit-Reference-Cited by-同舟云学术

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An end-to-end denoising autoencoder-based deep neural network approach for fault diagnosis of analog circuit

Published:2021-04-22 Issue:3 Volume:107 Page:605-616
ISSN:0925-1030
Container-title:Analog Integrated Circuits and Signal Processing
language:en
Short-container-title:Analog Integr Circ Sig Process

Author:

Yang Yueyi^ORCID,Wang Lide,Chen Huang,Wang Chong

Funder

the Science and Technology Research and Development Program of China National Railway Corporation Limited

Publisher

Springer Science and Business Media LLC

Subject

Surfaces, Coatings and Films,Hardware and Architecture,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s10470-021-01835-w.pdf

Reference30 articles.

1. Liu, Z. B., Liu, T. M., Han, J. W., Bu, S. H., Tang, X. J., & Pecht, M. (2016). Signal model-based fault coding for diagnostics and prognostics of analog electronic circuits. IEEE Transactions on Industrial Electronics, 46(1), 605–614. https://doi.org/10.1109/TIE.2016.2599142

2. Tadeusiewicz, M., & Halgas, S. (2017). A method for local parametric fault diagnosis of a broad class of analog integrated circuits. IEEE Transactions Instrumentation and Measurement, 67(2), 328–337. https://doi.org/10.1109/TIM.2017.2775438

3. Cui, J., & Wang, Y. R. (2011). A novel approach of analog circuit fault diagnosis using support vector machines classifier. Measurement, 44(1), 281–289. https://doi.org/10.1016/j.measurement.2010.10.004

4. Gao, T. Y., Yang, J. L., Jiang, S. D., & Yang, C. (2019). A novel fault diagnostic method for analog circuits using frequency response features. Review of Scientific Instruments, 90(10), 104708-1-104708–11. https://doi.org/10.1063/1.5120560

5. Vasan, A. S. S., Long, B., & Pecht, M. (2013). Diagnostics and prognostics method for analog electronic circuits. IEEE Transactions on Industrial Electronics, 60(11), 5277–5291. https://doi.org/10.1109/TIE.2012.2224074

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