基于连续小波变换的柴油机前声源识别。

Zhi-yong Hao, Jun Han
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引用次数: 18

摘要

柴油机的声信号包含有用的信息,但也包含相当大的噪声成分。采用连续小波变换(CWT)对发动机声学特征进行表征,以提取状态监测所需的信息。本文首先回顾了以短时暂态信号为代表的CWT特性。在此基础上,采用小波选择和小波变换,对发动机前端外部辐射声的主要声源进行了小波变换分析。研究结果为降低车辆声级的工程实践提供了可靠的依据。将实测声信号的识别结果与实测表面振动的识别结果进行了比较,结果吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of diesel front sound source based on continuous wavelet transform.

Acoustic signals from diesel engines contain useful information but also include considerable noise components. To extract information for condition monitoring purposes, continuous wavelet transform (CWT) is used for the characterization of engine acoustics. This paper first reviews CWT characteristics represented by short duration transient signals. Wavelet selection and CWT are then implemented and wavelet transform is used to analyze the major sources of the engine front's exterior radiation sound. The research provides a reliable basis for engineering practice to reduce vehicle sound level. Comparison of the identification results of the measured acoustic signals with the identification results of the measured surface vibration showed good agreement.

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