【摘要】：在揚(yáng)聲器的生產(chǎn)過(guò)程中,異音故障檢測(cè)主要還是通過(guò)人工檢聽(tīng)的形式來(lái)完成,標(biāo)準(zhǔn)難以統(tǒng)一和量化,并且長(zhǎng)時(shí)間的檢聽(tīng),對(duì)人耳造成很大的傷害。隨著人們對(duì)電子產(chǎn)品的需求日益增長(zhǎng),揚(yáng)聲器的產(chǎn)量也與日俱增,揚(yáng)聲器的檢聽(tīng)工作更加艱巨,這是電聲行業(yè)亟待解決的問(wèn)題,因此開(kāi)發(fā)出一套由機(jī)器代替人耳的自動(dòng)化檢測(cè)異音故障的系統(tǒng)是企業(yè)迫切的需求。本文分析了揚(yáng)聲器異音故障產(chǎn)生的原因,以及響應(yīng)信號(hào)的特性,研究了一種在線檢測(cè)揚(yáng)聲器異音故障的方法。對(duì)揚(yáng)聲器響應(yīng)信號(hào)進(jìn)行短時(shí)傅里葉變換得到時(shí)頻圖。通過(guò)諧波失真的理論,在時(shí)頻圖上進(jìn)行各階諧波劃分,對(duì)諧波能量進(jìn)行統(tǒng)計(jì)。然后設(shè)計(jì)特征提取器,提取出各階諧波的特征,找到合格揚(yáng)聲器與異音故障揚(yáng)聲器的區(qū)別。最后設(shè)計(jì)分類器,從而來(lái)對(duì)合格和故障揚(yáng)聲器進(jìn)行分類,達(dá)到自動(dòng)檢測(cè)的目的。本課題的研究工作主要包括:1.分析和研究揚(yáng)聲器異音故障及其產(chǎn)生機(jī)理;2.針對(duì)揚(yáng)聲器響應(yīng)信號(hào)進(jìn)行時(shí)頻分析,根據(jù)諧波失真機(jī)理,提取特征,分類學(xué)習(xí),提出基于諧波失真的揚(yáng)聲器異音故障檢測(cè)方法;3.對(duì)于不同種類的揚(yáng)聲器的閾值設(shè)定;4.對(duì)揚(yáng)聲器異音故障在線檢測(cè)系統(tǒng)進(jìn)行軟硬件系統(tǒng)的集成。
[Abstract]:In the production process of loudspeaker, the abnormal sound fault detection is mainly completed by manual inspection and listening, the standard is difficult to be unified and quantified, and the long period of time detection and hearing, causing great harm to the human ear. With the increasing demand for electronic products, the output of loudspeakers is increasing, and the detection and hearing of loudspeakers is more difficult, which is an urgent problem to be solved in the electro-acoustic industry. Therefore, it is urgent for enterprises to develop an automatic system for detecting abnormal sounds by replacing human ears with machines. In this paper, the causes of loudspeaker abnormal sound fault and the characteristics of response signal are analyzed, and a method of on-line detecting loudspeaker abnormal sound fault is studied. The short-time Fourier transform is applied to the loudspeaker response signal to obtain the time-frequency diagram. Based on the theory of harmonic distortion, the harmonic energy of each order is divided on the time-frequency diagram and the harmonic energy is counted. Then a feature extractor is designed to extract the features of each order harmonic and find out the difference between the qualified loudspeaker and the abnormal loudspeaker. Finally, a classifier is designed to classify qualified and faulty loudspeakers to achieve the purpose of automatic detection. The research work of this topic mainly includes: 1. Analysis and study of loudspeaker abnormal sound fault and its generation mechanism; 2. Based on the time-frequency analysis of loudspeaker response signal, according to the mechanism of harmonic distortion, extracting features, classifying and learning, a method of loudspeaker abnormal sound fault detection based on harmonic distortion is proposed. 3. Set the threshold for different types of loudspeakers; 4. The software and hardware integration of the on-line detection system of loudspeaker abnormal sound fault is carried out.
【學(xué)位授予單位】：天津科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN643

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本文編號(hào)：2401977