本文選題：聲品質(zhì)　切入點(diǎn)：煩惱度　出處：《重慶大學(xué)》2016年碩士論文

【摘要】：隨著經(jīng)濟(jì)的發(fā)展,科技的進(jìn)步,人們對(duì)摩托車的要求不僅僅在于具有良好的操縱性,更希望具有良好的乘坐舒適性。目前,摩托車的NVH性能成了人們選購(gòu)摩托車的重要指標(biāo)。發(fā)動(dòng)機(jī)聲品質(zhì)的好壞直接影響著摩托車的NVH性能。而聲品質(zhì)的評(píng)價(jià)受個(gè)人因素影響較大,且需要大量的人力、物力、財(cái)力。本文根據(jù)聲品質(zhì)主客觀參數(shù)進(jìn)行分析建立主觀煩惱度模型,以致能在不用大量耗費(fèi)物力人力的情況下預(yù)測(cè)評(píng)價(jià)產(chǎn)品聲品質(zhì)的好壞。本文首先搜集國(guó)內(nèi)外聲品質(zhì)研究的主要工作成果,以及描述了聲品質(zhì)研究的理論基礎(chǔ):心理聲學(xué)參數(shù)及其計(jì)算模型與聲品質(zhì)評(píng)價(jià)的主要方法。然后,根據(jù)本文實(shí)驗(yàn)內(nèi)容及任務(wù)要求,利用labview平臺(tái)設(shè)計(jì)聲信號(hào)測(cè)試分析模塊,其中軟件功能主要包括:聲樣本的采集、聲樣本的數(shù)據(jù)保存與讀取、聲樣本的頻譜分析、聲樣本的互動(dòng)濾波分析及聲樣本的聲品質(zhì)分析模塊。其次經(jīng)過(guò)采集樣本數(shù)據(jù)的回放、試聽,最終選取30個(gè)發(fā)動(dòng)機(jī)噪聲聲樣本進(jìn)行聲品質(zhì)主客觀評(píng)價(jià)分析。采用分組成對(duì)比較法進(jìn)行樣本的主觀評(píng)價(jià)。為了保證主觀評(píng)價(jià)實(shí)驗(yàn)結(jié)果的可靠性,實(shí)驗(yàn)中對(duì)數(shù)據(jù)進(jìn)行了誤差檢驗(yàn)、計(jì)權(quán)一致性系數(shù)確定,剔除結(jié)果偏差較大的數(shù)據(jù),最終所有評(píng)價(jià)人員的計(jì)權(quán)一致性系數(shù)均在80.7407%以上。另外分別計(jì)算出發(fā)動(dòng)機(jī)聲樣本的心理聲學(xué)參數(shù)(A聲級(jí)、響度、尖銳度、粗糙度、抖動(dòng)度以及煩惱度),與聲樣本主觀實(shí)驗(yàn)的結(jié)果進(jìn)行單相關(guān)分析、偏相關(guān)分析,確定參量間的內(nèi)在聯(lián)系。確定A計(jì)權(quán)聲壓級(jí)、尖銳度與主觀煩惱度具有很大的相關(guān)性,說(shuō)明尖銳度和A聲級(jí)明顯影響人耳對(duì)發(fā)動(dòng)機(jī)噪聲煩惱度的主觀評(píng)價(jià)。再次根據(jù)發(fā)動(dòng)機(jī)噪聲主觀煩惱度得分值來(lái)指導(dǎo)發(fā)動(dòng)機(jī)的聲學(xué)改進(jìn)研究,選取不同分值的幾個(gè)典型的聲樣本,進(jìn)行頻譜分析、心理聲學(xué)參數(shù)分析以及互動(dòng)濾波方法確定影響發(fā)動(dòng)機(jī)聲品質(zhì)評(píng)價(jià)的頻段。確定證明發(fā)動(dòng)機(jī)的聲品質(zhì)主觀評(píng)價(jià)對(duì)發(fā)動(dòng)機(jī)的NVH性能有指導(dǎo)意義。最后分別基于多元線性回歸和BP神經(jīng)網(wǎng)絡(luò)建立發(fā)動(dòng)機(jī)聲品質(zhì)主觀煩惱度評(píng)價(jià)模型,用于預(yù)測(cè)評(píng)價(jià)產(chǎn)品的聲品質(zhì)。研究表明:基于BP神經(jīng)網(wǎng)絡(luò)建立的主觀煩惱度評(píng)價(jià)模型預(yù)測(cè)的相對(duì)誤差的最大值明顯低于回歸模型的預(yù)測(cè)值的最大相對(duì)誤差;BP神經(jīng)網(wǎng)絡(luò)模型的性能指數(shù)也明顯優(yōu)于回歸模型的性能指數(shù)。證明運(yùn)用BP神經(jīng)網(wǎng)絡(luò)建立的聲品質(zhì)主觀煩惱度模型明顯優(yōu)于基于多元線性回歸建立的聲品質(zhì)主觀煩惱度模型。
[Abstract]:With the development of economy and the progress of science and technology, the requirement of motorcycle is not only good maneuverability, but also good ride comfort.At present, the NVH performance of motorcycles has become an important index for people to choose and purchase motorcycles.The sound quality of engine directly affects the NVH performance of motorcycle.The evaluation of sound quality is influenced by individual factors, and requires a lot of manpower, material and financial resources.Based on the subjective and objective parameters of sound quality, a subjective annoyance model is established in this paper, so that the sound quality of products can be predicted and evaluated without expending a great deal of material resources and manpower.In this paper, we first collect the main research results of sound quality at home and abroad, and describe the theoretical basis of sound quality research: psychoacoustic parameters, their calculation model and the main methods of sound quality evaluation.Then, according to the experiment content and task requirement of this paper, the acoustic signal test and analysis module is designed by using labview platform. The software function mainly includes: the collection of sound sample, the data saving and reading of sound sample, the spectrum analysis of sound sample.Interactive filter analysis of sound samples and sound quality analysis module of sound samples.Secondly, 30 samples of engine noise sound were selected for subjective and objective evaluation of sound quality by playback and audition of collected sample data.The subjective evaluation of the sample was carried out by the method of comparison.In order to ensure the reliability of the experimental results of subjective evaluation, the error test of the data was carried out in the experiment, and the weight consistency coefficient was determined. The weight consistency coefficient of all the evaluators was more than 80.7407%.In addition, the psychoacoustic parameters of engine sound samples are calculated respectively, such as sound level, loudness, sharpness, roughness, jitter degree and annoyance degree, which are analyzed by single correlation analysis and partial correlation analysis with the results of subjective experiment of sound samples.Determine the intrinsic relationship between the parameters.To determine A weighted sound pressure level, the acuity has a great correlation with subjective annoyance, which indicates that sharpness and A sound level obviously affect the subjective evaluation of engine noise annoyance by human ear.Thirdly, according to the engine noise subjective annoyance score value to guide the engine acoustic improvement research, select several typical sound samples with different scores, carry on the spectrum analysis,The psychoacoustic parameter analysis and the interactive filtering method are used to determine the frequency range that affects the evaluation of engine sound quality.It is confirmed that the subjective evaluation of engine sound quality is of guiding significance to the NVH performance of engine.Finally, based on multiple linear regression and BP neural network, the subjective annoyance evaluation model of engine acoustic quality is established to predict and evaluate the sound quality of the product.The results show that the maximum value of relative error predicted by subjective annoyance evaluation model based on BP neural network is obviously lower than that of regression model. The performance index of BP neural network model is also better than that of BP neural network model.Based on the performance index of regression model.It is proved that the subjective worry degree model of sound quality based on BP neural network is obviously superior to the subjective worry degree model of sound quality based on multivariate linear regression.
【學(xué)位授予單位】：重慶大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：U483

【相似文獻(xiàn)】

相關(guān)期刊論文 前10條

1 沈哲;左言言;宋乃華;葛瑋;;影響車輛聲品質(zhì)聽審實(shí)驗(yàn)的相關(guān)因素研究[J];噪聲與振動(dòng)控制;2008年06期

2 鄧江華;夏洪兵;;汽車車門關(guān)閉聲聲品質(zhì)客觀評(píng)價(jià)[J];噪聲與振動(dòng)控制;2011年05期

3 藺磊;顧彥;藺玉輝;梁新華;;車輛關(guān)門聲品質(zhì)的優(yōu)化研究[J];北京汽車;2012年03期

4 楊川;于德介;;汽車關(guān)門聲品質(zhì)改進(jìn)方法的研究[J];汽車工程;2012年08期

5 申秀敏;左曙光;王勇;李彬;;轎車聲品質(zhì)主觀評(píng)價(jià)研究[J];噪聲與振動(dòng)控制;2013年01期

6 毛東興;;聲品質(zhì)研究與應(yīng)用進(jìn)展[J];聲學(xué)技術(shù);2007年01期

7 范瑋;孟子厚;;汽車車門聲品質(zhì)調(diào)查[J];聲學(xué)技術(shù);2007年04期

8 鐘秤平;陳劍;汪念平;;工業(yè)產(chǎn)品聲品質(zhì)的評(píng)價(jià)與分析方法研究[J];噪聲與振動(dòng)控制;2008年01期

9 陳劍;楊雯;李偉毅;;汽車聲品質(zhì)主觀評(píng)價(jià)試驗(yàn)方法探究[J];汽車工程;2009年04期

10 宋恩棟;陳劍;;基于某車的主客觀聲品質(zhì)評(píng)價(jià)[J];噪聲與振動(dòng)控制;2009年03期

相關(guān)會(huì)議論文 前10條

1 毛東興;;聲品質(zhì)研究與應(yīng)用進(jìn)展[A];中國(guó)聲學(xué)學(xué)會(huì)2005年青年學(xué)術(shù)會(huì)議[CYCA'05]論文集[C];2005年

2 范瑋;孟子厚;;汽車車門的聲品質(zhì)對(duì)汽車消費(fèi)心理的影響[A];2006年聲頻工程學(xué)術(shù)交流會(huì)論文集[C];2006年

3 李R，

本文編號(hào)：1712364