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Experimental modeling of Wiener filters estimated on an operating diesel engine

机译：在运行的柴油机上估算的维纳滤清器的实验模型

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Sound source separation in diesel engines can be implemented using a Wiener filter, or spectrofilter, that can extract the combustion contribution in the overall noise. In this study this filter characterizes the transfer function between a cylinder pressure and a measurement point. An engine is characterized by several filters (one for each cylinder) which are estimated for many operating conditions (engine speed and load). The purpose of this work is to obtain an averaged spectrofllter allowing the synthesis of combustion noise in all operating conditions. This synthesis should be accurate enough to be used in perceptive studies. In order to refine the spectrofilter estimation in the medium frequency band, this paper consists in taking advantage of the multitude of information given by the estimations from different operating conditions. To do this, an experimental model is adopted so modal parameters are extracted from a great number of measured filters. Different procedures such as the ESPRIT method or the LSCE method (modal analysis) are used to decompose the impulse responses on a complex exponential basis. The spectro-filters estimated from different operating conditions are analyzed and compared in this reduced basis, in order to identify the underlying structural parameters. These parameters are compared to the results of an experimental characterization of the stopped engine. The accuracy of the synthesis (number of components of the filter) is an important issue because these filters will be used in perceptive applications, extracting combustion noises. This paper is an extended version of the work initially presented at the conference Surveillance 6 in November 2011 in Compiegne, France (J. Drouet, Quentin Leclere, Etienne Parizet. Experimental modeling of Wiener filters estimated on an operating diesel engine, in: Proceedings of the Surveillance, vol. 6, Compi'egne, France, 2011.).
机译：柴油发动机中的声源分离可以使用维纳过滤器或分光过滤器实现，该过滤器可以提取总噪声中的燃烧贡献。在这项研究中，该滤波器描述了气缸压力和测量点之间的传递函数。发动机具有几个过滤器（每个气缸一个）的特征，这些过滤器针对许多工况（发动机转速和负载）进行了估算。这项工作的目的是获得一个平均分光滤光片，该滤光片可以在所有运行条件下合成燃烧噪声。该合成应足够准确，以用于感知研究。为了改进中频频谱滤波器的估计，本文包括利用来自不同工作条件的估计给出的大量信息。为此，采用了实验模型，以便从大量测量的滤波器中提取模态参数。使用诸如ESPRIT方法或LSCE方法（模态分析）之类的不同程序，可以在复杂的指数基础上分解脉冲响应。为了确定基本的结构参数，在减少的基础上分析和比较了从不同工作条件估算的光谱滤光片。将这些参数与停止的发动机的实验特性结果进行比较。合成的准确性（过滤器的部件数量）是一个重要的问题，因为这些过滤器将用于感知应用中，从而提取燃烧噪声。本文是在2011年11月于法国贡比涅举行的Surveillance 6会议上首次提出的工作的扩展版本（J. Drouet，Quentin Leclere，Etienne Parizet。在运行的柴油机上估算的Wiener过滤器的实验模型，在：监视，第6卷，法国贡比涅，2011年。）。

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