Motor fault diagnosis is an important task in the operational monitoring of electrical machines in manufacturing. This study proposes an effective bearing fault diagnosis model for electrical machinery based on machine learning techniques. The proposed model is a combination of three processes: feature extraction of signals collected from the motor based on multi-resolution analysis. ... https://shopredoners.shop/product-category/womens-60s-slim-tee/
Application of Salp Swarm Algorithm and Extended Repository Feature Selection Method in Bearing Fault Diagnosis
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