Stationary Wavelet Transform Aided Fault Detection for LDTV Systems
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-5438-2_17
Reference16 articles.
1. Altay, Ö., & Kalenderli, Ö. (2014). Wavelet base selection for de-noising and extraction of partial discharge pulses in noisy environment. IET Science, Measurement & Technology, 9(3), 276–284.
2. Botre, C., Mansouri, M., Karim, M. N., et al. (2017). Multiscale PLS-based GLRT for fault detection of chemical processes. Journal of Loss Prevention in the Process Industries, 46, 143–153.
3. Ding, S. X. (2013). Model-based fault diagnosis techniques: Design schemes, algorithms, and tools (2nd ed.). London, U.K.: Springer.
4. Ding, S. X., Li, L., & Krüger, M. (2019). Application of randomized algorithms to assessment and design of observer-based fault detection systems. Automatica, 107, 175–182.
5. Gilles, J. (2013). Empirical wavelet transform. IEEE transactions on signal processing, 61(16), 3999–4010.
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