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Author

Oscar H. Sierra-Herrera

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Open access Sep 2026

Computational Reliability of Raspberry Pi 5 Under Undervoltage and Current Limitation: Detected Computational Errors and Implications for Silent Data Corruption

The results indicate that conventional performance metrics alone may not be sufficient to evaluate system reliability under unstable power conditions, and highlights the importance of monitoring computational correctness in SBCs operating under constrained power conditions.

O. Sierra-Herrera, R. Váz, L. Patarroyo-Gutierrez et al. · 0 citations
Conference Aug 2026

Fault Classification in Wind Turbine Systems Using Multichannel Vibration Signals: A Comparative Study of FFT and DWT-Based Features

Reliable fault classification is essential for improving the operation and maintenance of wind turbine systems, the use of machine learning and multichannel vibration has also been used in this field, like the one proposed in this study. The methodology used combines signal segmentation with feature extraction using th...

O. Sierra-Herrera, Daison Stallon Samuel Raj, Abhinandan Routray et al. · 0 citations
Open access Jul 2026

Rotor Imbalance Classification in Wind Turbines Using Multichannel Vibration Analysis and a DWT–LDA Framework

A machine learning-based methodology for fault classification that combines Discrete Wavelet Transform for time–frequency feature extraction with Linear Discriminant Analysis (LDA) for dimensionality reduction within a structured processing pipeline is proposed.

Oscar H. Sierra-Herrera, Mario Eduardo González Niño, Carlos-Eduardo Pinto-Salamanca et al. · 0 citations

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