Hilbert Transform Analyzer for Mechanical Fault Detection of Vehicle Alternators

Subekti Subekti (Mercu Buana University, Indonesia)
Muhammad Nurul Hidayat (PT Astra Daihatsu Motor, Indonesia)
Basuki Dwi Efendi (PT Astra Daihatsu Motor, Indonesia)
Abdul Hamid (Mercu Buana University, Indonesia)
Alim Murwanto (Mercu Buana University, Indonesia)

Automotive Experiences
Vol 3 No 3 (2020)

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.