Analysis of vibroacoustic estimators for a heavy-duty diesel engine used in sea transport in the aspect of diagnostics of its environmental impact

Abstract

The paper describes the impact of a marine engine operation on selected vibroacoustic quantity estimators and their characteristics made in different signal domains. The authors focused on the assessment of the combustion process diagnostic for the engine operating characteristics to obtain information on its functional relations and its nature determined by changes in the main structural and operational point measures, in a powertrain of a non-road means of sea transport. In the empirical research, the vibration, acoustic signal generation and its propagation have been selected to obtain quantitative measures of an engine diagnostic assessment. The authors have confirmed that the considered vibroacoustic estimators and their specified characteristics can be useful for a continuous engine assessment in a vehicle during its normal operation, which gives additional tools to perform more accurate diagnostics under real stationary and non-stationary operating conditions. Furthermore, it makes it possible to identify malfunctions in regular operation of the means of transport, which can be also helpful in the identification of their sources. All such factors and the obtained analyses are in strict correlation with the present and future requirements of the international and domestic regulations for means of transport fitted with combustion engines.

Recognizing Significant Components of Electrical Waveforms of Actuators Operated by Vehicle Controllers

“…Measurement studies and theoretical analyses on the displacement characteristics of the moving components of injectors were carried out by the authors of [ 24 ]. Research in the field of diagnosing internal combustion engine components and the impact of their condition on engine operation can also be found in [ 25 , 26 , 27 , 28 , 29 , 30 , 31 ]. These studies demonstrate the effectiveness of diagnosis conducted on the basis of the analysis of recorded vibration [ 26 , 27 , 28 , 29 , 30 ] and acoustic signals [ 29 , 31 ] as well as the use of advanced signal processing.…”