Analog circuit soft fault diagnosis utilizing matrix perturbation analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Surfaces, Coatings and Films,Hardware and Architecture,Signal Processing
Link
http://link.springer.com/content/pdf/10.1007/s10470-019-01433-x.pdf
Reference35 articles.
1. Binu, D., & Kariyappa, B. S. (2017). A survey on fault diagnosis of analog circuits: Taxonomy and state of the art. AEÜ - International Journal of Electronics and Communications, 73, 68–83.
2. Mohsen, A. K. A., & El-Yazeed, M. F. A. (2004). Selection of input stimulus for fault diagnosis of analog circuits using ARMA model. AEÜ - International Journal of Electronics and Communications, 58(3), 212–217.
3. Liu, Z., Liu, T., Han, J., Bu, S., Tang, X., & Pecht, M. (2017). Signal model-based fault coding for diagnostics and prognostics of analog electronic circuits. IEEE Transactions on Industrial Electronics, 64(1), 605–614.
4. El-Yazeed, M. F. A., & Mohsen, A. A. K. (2003). A preprocessor for analog circuit fault diagnosis based on Prony’s method. AEÜ - International Journal of Electronics and Communications, 57(1), 16–22.
5. Yong, D., Yibing, S., & Wei, Z. (2012). Diagnosis of soft faults in analog integrated circuits based on fractional correlation. Journal of Semiconductors, 33(8), 085007.
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