Recent years have seen growing faith in data-driven tools for condition monitoring and fault detection, a trend accelerated further by advances in artificial intelligence. In many industrial systems typical examples like chemical plants and wind-energy installations—the underlying process variables do not behave in a s...
N. Syed, D. Teklemariyem, W. Staszewski et al.· Advances in Science and Tech...· 0 citations
This study presents the energy distance non-parametric approach for condition monitoring of multiple wind turbines within the same wind farm. The main objective of this work is to monitor the performance of wind turbines by comparing them against each other within the same farm. Traditional methods often rely on parame...
D. Teklemariyem, Syed Nasir Hussain Razvi, Abual Hassan et al.· e-Journal of Nondestructive...· 0 citations
Wind turbine blade failure diagnosis is of critical importance, as the inability to reliably detect such faults can result in substantial financial losses, prolonged downtime, extensive repair activities, as well as increased operation and maintenance costs. This paper introduces a new application of energy distance an...
D. Teklemariyem, N. Syed, W. Staszewski et al.· Energies· 0 citations
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