Sound quality DNA construction according to the scenario and operating condition of diesel engine

Abstract

The sound quality (SQ) of a diesel engine varies with scenario and operating condition, therefore, the traditional evaluation method based on fixed operating points may not be able to reflect the SQ flexibly. Besides, it is difficult to effectively quantify the SQ performance due to the differences of application scenarios, which is not conducive to conduct targeted acoustic improvement. To address this issue, a quick SQ evaluation approach was proposed based on the DNA construction of scenario and operating condition. In this approach, the effectiveness and diversity of sampling were considered, and fifteen operating conditions of each engine (four in total) including frequently used ones and randomly selected ones were picked for jury tests. The revised grouped pair comparison (RGPC) was developed to improve the evaluation accuracy and efficiency for large scale samples. The fuzzy analytic hierarchy process (FAHP) was introduced to calculate the weights of operating conditions for different application scenarios, and the weighted preference was employed as a comprehensive SQ index. As a result, the DNA of scenario-operating condition were extracted and examined, which can quickly and precisely sequence the SQ of diesel engines in different application scenarios.