Combining Support Vector Machine - Fast Fourier Transform (SVM - FFT) for Improving Accuracy on Broken Bearing Diagnosis

Combining Support Vector Machine - Fast Fourier Transform (SVM - FFT) for Improving Accuracy on Broken Bearing Diagnosis

Electric motor has critical component that called as bearing. Bearing condition be monitored through vibration signal that is produced by vibration sensor. Vibration signal is analysed to detect condition of bearing and also to diagnose the broken bearing. In order to intelligently diagnose the brok...

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Bibliografiska uppgifter
Huvudupphovsmän: Harlianto, Pramudyana Agus, Setiawan, Noor Akhmad, Adji, Teguh Bharata
Materialtyp: Conference or Workshop Item
Språk:English
Publicerad: 2022
Ämnen:
Electrical and Electronic Engineering
Engineering
Länkar:https://repository.ugm.ac.id/283453/1/Combining_Support_Vector_Machine__Fast_Fourier_Transform_SVM__FFT_For_Improving_Accuracy_on_Broken_Bearing_Diagnosis.pdf

Internet

https://repository.ugm.ac.id/283453/1/Combining_Support_Vector_Machine__Fast_Fourier_Transform_SVM__FFT_For_Improving_Accuracy_on_Broken_Bearing_Diagnosis.pdf

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