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A novel frequency estimation method for accurate bearing fault frequencies identification
Heryad B.a, Tjahjowidodo T.b, Nurprasetio I.P.a, Abidin Z.a
a Institut Teknologi Bandung, 40132, Indonesia
b Nanyang Technological University, Singapore, 639798, Singapore
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2018 IEEE.This paper presents a novel method that alleviates classical problem in signal processing, which is referred to as spectral leakage caused by incoherent sampling. In such case, the actual signal is commonly misinterpreted in the frequency spectrum. The proposed method is developed in two steps. Firstly, a mathematical manipulation is carried out to derive the analytical solution to the DFT (Discrete Fourier Transform) algorithm since the actual signal frequency will be obtained from the two highest DFT points. Secondly, an algorithm employing the analytical solution is developed. To validate the performance of the method, a number of experiments are conducted. The results of the experiments verify that the proposed method manages to identify the actual frequency of any single-frequency signal with high accuracy. In addition, another numerical experiment involving a multi-frequency signal proves that the proposed method performs frequencies extraction with high accuracy. This good performance is also confirmed by an accurate extraction of bearing-fault frequencies.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Bearing fault frequencies,Classical problems,DFT (discrete fourier transform),Frequency spectra,Incoherent samplings,Multi-frequency signals,Numerical experiments,Signal frequencies[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]*This research is fully funded by Faculty of Mechanical and Aerospace Engeineering ITB (Institut Teknologi Bandung). B. Heryadi is with the Institut Teknologi Bandung, 40132 Indonesia (email: budi@ftmd.itb.ac.id). T. Tjahjowidodo is with the Nanyang Technological University, 639798 Singapore, (phone: +65 6790 4952; fax: +65 6792 4062; e-mail: ttegoeh@ntu.edu.sg).[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/AIM.2018.8452449[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]