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Gear Degradation Study Using Statistical Time Features and Shallow Neural Networks

Gears are widely recognized as crucial components for power connections and transmission owing to their substantial loading capacity, transmission efficiency, and consistent power output. Given their complexity, they are prone to faults and require continuous condition monitoring (CM). The study pro...

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Principais autores: Shahil Kumar, Krish Kumar Raj, Maurizio Cirrincione, Giansalvo Cirrincione, Rahul Ranjeev Kumar
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2024-01-01
Serier:IEEE Access
Fag:
Classification
degradation
dimensionality reduction
feature engineering
gear
neural networks
Online adgang:https://ieeexplore.ieee.org/document/10630482/
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