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Farzin Piltan

2 papers indexed

crossrefSensors2022-01-11Cited by 23

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

Farzin Piltan, Rafia Nishat Toma, Dongkoo Shon, Kichang Im, Hyun-Kyun Choi, Dae-Seung Yoo, et al.

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 use…

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crossrefApplied Sciences2021-05-18Cited by 56

Bearing Anomaly Recognition Using an Intelligent Digital Twin Integrated with Machine Learning

Farzin Piltan, Jong-Myon Kim

In this study, the application of an intelligent digital twin integrated with machine learning for bearing anomaly detection and crack size identification will be observed. The intelligent digital twin has two main sections: signal approximation and intelligent signal estimation.…

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