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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Xehetasun bibliografikoak
Egile Nagusiak: Harlianto, Pramudyana Agus, Setiawan, Noor Akhmad, Adji, Teguh Bharata
Formatua: Conference or Workshop Item
Hizkuntza:English
Argitaratua: 2022
Gaiak:
Electrical and Electronic Engineering
Engineering
Sarrera elektronikoa: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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