ScholarLens Back to search
2008•Neiranji gongchengRequires access

Study on the Time-Frequency Characteristics of Engine Noise Signal Based on EMD and HHT

Jing Guo-xi

Open publisher page 1 citations

Abstract

The basic principles and methods of empirical mode decomposition(EMD) and Hilbert-Huang transform(HHT) were briefly discussed.The simulation experiment was conducted to verify the decomposition and time-frequency analysis ability of EMD and HHT for complex signals.Taking a six cylinder engine as example,the wavelet package decomposition was first used as a filter to preprocess the noise signal,and then the filtered signal was decomposed into a collection of intrinsic mode functions(IMFs) with different frequency by the method of EMD.HHT was employed to analyze the amplitude and frequency of each IMF varying with time.In terms of the structural acoustic radiation mechanism of engine,the origin of each IMF was deduced,and the noise sources can be identified.The research has shown that the method of EMD and HHT is suitable for the analysis of engine noise signal.

About this research paper

What this paper is about

The basic principles and methods of empirical mode decomposition(EMD) and Hilbert-Huang transform(HHT) were briefly discussed.The simulation experiment was conducted to verify the decomposition and time-frequency analysis ability of EMD and HHT for complex signals.Taking a six cylinder engine as example,the wavelet package decomposition was first used as a filter to preprocess the noise signal,and then the filtered signal was decomposed into a collection of intrinsic mode functions(IMFs) with different frequency by the method of EMD.HHT was employed to analyze the amplitude and frequency of each IMF varying with time.In terms of the structural acoustic radiation mechanism of engine,the origin of each IMF was deduced,and the noise sources can be identified.The research has shown that the method of EMD and HHT is suitable for the analysis of engine noise signal.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The basic principles and methods of empirical mode decomposition(EMD) and Hilbert-Huang transform(HHT) were briefly discussed.The simulation experiment was conducted to verify the decomposition and time-frequency analysis ability of EMD and HHT for complex signals.Taking a six cylinder engine as example,the wavelet package decomposition was first used as a filter to preprocess the noise signal,and then the filtered signal was decomposed into a collection of intrinsic mode functions(IMFs) with different frequency by the method of EMD.HHT was employed to analyze the amplitude and frequency of each IMF varying with time.In terms of the structural acoustic radiation mechanism of engine,the origin of each IMF was deduced,and the noise sources can be identified.The research has shown that the method of EMD and HHT is suitable for the analysis of engine noise signal.

Key concepts: Hilbert–Huang transform, Noise (video), SIGNAL (programming language), Instantaneous phase, Acoustics, Wavelet, Filter (signal processing), Time–frequency analysis

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Study on the Time-Frequency Characteristics of Engine Noise Signal Based on EMD and HHT — Research Paper | ScholarLens