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Strict-Feedback Backstepping Digital Twin and Machine Learning Solution in AE Signals for Bearing Crack Identification

Bearings are nonlinear systems that can be used in several industrial applications. In this study, the combination of a strict-feedback backstepping digital twin and machine learning algorithm was developed for bearing crack type/size diagnosis. Acoustic emission sensors were used to collect normal...

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Principais autores: Farzin Piltan, Rafia Nishat Toma, Dongkoo Shon, Kichang Im, Hyun-Kyun Choi, Dae-Seung Yoo, Jong-Myon Kim
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-01-01
Serier:Sensors
Fag:
bearing
digital twin
machine learning
acoustic emission
autoregressive technique
Gaussian process regression
Online adgang:https://www.mdpi.com/1424-8220/22/2/539
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