SciELO

Applications of Artificial Neural Network Simulation for Prediction of Wear Rate and Coefficient of Friction Titanium Matrix Composites

The Artificial Neural Network (ANN) techniques were utilized to predict wear rate and CoF of the Ti-5Al-2.5Sn matrix reinforced with B 4 C particle manufactured by the powder metallurgy. TMCs and wear ...
IEEE

Counter-Based Scatter Matrix Estimation for One-Bit Centered Bivariate Cauchy Signals

Abstract: Scatter matrix or covariance matrix estimation under data with outliers is crucial to signal processing applications. These data can be modeled as Cauchy or elliptically symmetric (ES) ...
IEEE

Ensemble Learning-Based Correlation Coefficient Method for Robust Diagnosis of Voltage Sensor and Short-Circuit Faults in Series Battery Packs

Abstract: Accurate and reliable multifault diagnosis of battery packs is crucial to the safe operation of electric vehicles. To this end, this article proposes a systematically improved correlation ...