Fault Detection and Severity Level Identification of Spiral Bevel Gears under Different Operating Conditions Using Artificial Intelligence Techniques

Fault Detection and Severity Level Identification of Spiral Bevel Gears under Different Operating Conditions Using Artificial Intelligence Techniques

Spiral bevel gears are known for their smooth operation and high load carrying capability; therefore, they are an important part of many transmission systems that are designed for high speed and high load applications. Due to high contact ratio and complex vibration signal, their fault detection is...

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Bibliographic Details
Main Authors:	Syed Muhammad Tayyab, Steven Chatterton, Paolo Pennacchi
Format:	Article
Language:	English
Published:	MDPI AG 2021-08-01
Series:	Machines
Subjects:	fault detection fault severity level identification artificial intelligence (AI) artificial neural network (ANN) K-nearest neighbors (KNN) features extraction
Online Access:	https://www.mdpi.com/2075-1702/9/8/173

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