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Hilbert Transform Analyzer for Mechanical Fault Detection of Vehicle Alternators

Automotive Experiences · Vol. 3 No. 3 (2020) · hlm. 89–95

DOI
10.31603/ae.v3i3.3834
ISSN
2615-6636, 2615-6202
Terbit
2020-09-27
Penerbit
Universitas Muhammadiyah Magelang
Bahasa
en

Abstrak

Checking the alternator with mechanical measurements of moving parts takes sufficient time, especially in compact design engines. Therefore, this article presents a new method for alternator fault detection using the Hilbert transform application. The instantaneous amplitude and frequency are used as input variables for fault detection. Joint time-frequency analysis based on the wavelet analysis is also applied to identify the nonlinear characteristics. Various wavelet functions are examined, and some recommendations regarding the most suitable ones and the interpretation of the results are discussed. As a result, the backbone curve obtained from the instantaneous amplitude and frequency demonstrates the presence of the nonlinear phenomena, which can help make decisions about an alternator in normal conditions or indicate fault detection. From the test results, this method is very promising to be applied as part of vehicle's preventive maintenance.

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16 penulis · 37 tautan kepenulisan bersama · 3 lintas organisasi

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  • Mercu Buana University
  • Universitas Bhayangkara Jakarta Raya
  • Universitas Teknologi Bandung
  • Afiliasi tidak diketahui
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  • Organisasi sama
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Rekan penulisOrganisasiArtikel bersama
Abdul HamidMercu Buana University3
Paduloh PadulohUniversitas Bhayangkara Jakarta Raya1
Mochamad SaidimanUniversitas Teknologi Bandung1
Ari SusantoMercu Buana University1
Setyo Qomarudin YusufMercu Buana University1
Haris WahyudiMercu Buana University1
Basuki Dwi EffendyAfiliasi tidak diketahui1
Agung Wahyudi BiantoroMercu Buana University1
Monika Audiya PratiwiMercu Buana University1
Muhammad IkhsanMercu Buana University1
Rio Duzan OctaviantoMercu Buana University1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) http://journal.unimma.ac.id/index.php/AutomotiveExperiences/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Hilbert Transform Analyzer for Mechanical Fault Detection of Vehicle Alternators</dc:title>
	<dc:creator xml:lang="en">Subekti, Subekti</dc:creator>
	<dc:creator xml:lang="en">Hidayat, Muhammad Nurul</dc:creator>
	<dc:creator xml:lang="en">Efendi, Basuki Dwi</dc:creator>
	<dc:creator xml:lang="en">Hamid, Abdul</dc:creator>
	<dc:creator xml:lang="en">Murwanto, Alim</dc:creator>
	<dc:subject xml:lang="en">Preventive maintenance</dc:subject>
	<dc:subject xml:lang="en">Alternator</dc:subject>
	<dc:subject xml:lang="en">Hilbert analysis</dc:subject>
	<dc:subject xml:lang="en">Fault detection</dc:subject>
	<dc:description xml:lang="en">Checking the alternator with mechanical measurements of moving parts takes sufficient time, especially in compact design engines. Therefore, this article presents a new method for alternator fault detection using the Hilbert transform application. The instantaneous amplitude and frequency are used as input variables for fault detection. Joint time-frequency analysis based on the wavelet analysis is also applied to identify the nonlinear characteristics. Various wavelet functions are examined, and some recommendations regarding the most suitable ones and the interpretation of the results are discussed. As a result, the backbone curve obtained from the instantaneous amplitude and frequency demonstrates the presence of the nonlinear phenomena, which can help make decisions about an alternator in normal conditions or indicate fault detection. From the test results, this method is very promising to be applied as part of vehicle's preventive maintenance.</dc:description>
	<dc:publisher xml:lang="en">Universitas Muhammadiyah Magelang</dc:publisher>
	<dc:date>2020-09-27</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unimma.ac.id/AutomotiveExperiences/article/view/3834</dc:identifier>
	<dc:identifier>10.31603/ae.v3i3.3834</dc:identifier>
	<dc:source xml:lang="en">Automotive Experiences; Vol. 3 No. 3 (2020); 89-95</dc:source>
	<dc:source>2615-6636</dc:source>
	<dc:source>2615-6202</dc:source>
	<dc:source>10.31603/ae.v3i3</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unimma.ac.id/AutomotiveExperiences/article/view/3834/1923</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2020 Subekti Subekti, Muhammad Nurul Hidayat, Basuki Dwi Efendi, Abdul Hamid, Alim Murwanto</dc:rights>
</oai_dc:dc>