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Inicio  /  Applied Sciences  /  Vol: 10 Par: 19 (2020)  /  Artículo
ARTÍCULO
TITULO

Acoustic-Based Engine Fault Diagnosis Using WPT, PCA and Bayesian Optimization

Steve Koshy Mathew and Yu Zhang    

Resumen

In this paper, the proposed method is validated using experimental studies based on sound signals for engine fault diagnosis, though ultimately the developed framework can be widely applicable to many other industrial fault diagnosis scenarios, e.g., in aeronautical, automotive, energy and manufacturing industry.

PÁGINAS
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