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Abstract

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.

Keywords

Preventive maintenance Alternator Hilbert analysis Fault detection

Article Details

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Author Biographies

Subekti Subekti, Mercu Buana University, Indonesia

Academic profile: Scopus; ORCID; ResearchGate; Google Scholar; Sinta

Muhammad Nurul Hidayat, PT Astra Daihatsu Motor, Indonesia

Academic profile: LinkedIn

Basuki Dwi Efendi, PT Astra Daihatsu Motor, Indonesia

Academic profile: -

Abdul Hamid, Mercu Buana University, Indonesia

Academic profile: Google Scholar

Alim Murwanto, Mercu Buana University, Indonesia

Academic profile: -

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