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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Shahil Kumar, Krish Kumar Raj, Maurizio Cirrincione, Giansalvo Cirrincione, Rahul Ranjeev Kumar
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	IEEE 2024-01-01
سلاسل:	IEEE Access
الموضوعات:	Classification degradation dimensionality reduction feature engineering gear neural networks
الوصول للمادة أونلاين:	https://ieeexplore.ieee.org/document/10630482/
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!