Sinha Namrata Ieee Access Link -

Introduction draft: Electric motors are a fundamental component of modern industrial systems, driving pumps, compressors, conveyors, and manufacturing equipment. Unplanned motor failures lead to costly downtime, reduced productivity, and safety risks. Early and accurate fault detection enables predictive maintenance strategies that reduce life-cycle costs and improve operational reliability. Traditional condition monitoring techniques rely on manual feature engineering from vibration or current signals, combined with classical classifiers such as support vector machines (SVMs) or decision trees. While effective in controlled settings, these methods often fail to generalize across different machines, loads, and noise conditions because handcrafted features may not capture complex fault signatures.

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Dr. Namrata Sinha is a medical professional specializing in oncopathology and histopathology at Medanta Patna. IEEE Access: A Hub for Rapid Innovation Here are quick fixes: Dr