A One-Dimensional Convolutional Neural Network-Based Method for Diagnosis of Tooth Root Cracks in Asymmetric Spur Gear Pairs

A One-Dimensional Convolutional Neural Network-Based Method for Diagnosis of Tooth Root Cracks in Asymmetric Spur Gear Pairs

Gears are fundamental components used to transmit power and motion in modern industry. Their health condition monitoring is crucial to ensure reliable operations, prevent unscheduled shutdowns, and minimize human casualties. From this standpoint, the present study proposed a one-dimensional convolut...

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Hlavní autoři: Onur Can Kalay, Esin Karpat, Ahmet Emir Dirik, Fatih Karpat
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2023-03-01
Edice:Machines
Témata:
deep learning
fault diagnosis
vibration signal
gear design
asymmetric gear
On-line přístup:https://www.mdpi.com/2075-1702/11/4/413

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https://www.mdpi.com/2075-1702/11/4/413

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