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Mechanical systems and signal processing v.109, 2018년, pp.247 - 267   SCIE SCOPUS
본 등재정보는 저널의 등재정보를 참고하여 보여주는 베타서비스로 정확한 논문의 등재여부는 등재기관에 확인하시기 바랍니다.

Identification of vehicle interior noise sources based on wavelet transform and partial coherence analysis

Huang, Hai B. (School of Mechanical Engineering, Xi'an Jiaotong University, 710049 Xi An, Shaanxi, China ) ; Huang, Xiao R. (Institute of Automotive Engineering Research, Southwest Jiaotong University, 610031 Cheng Du, Si Chuan, China ) ; Yang, Ming L. (Institute of Automotive Engineering Research, Southwest Jiaotong University, 610031 Cheng Du, Si Chuan, China ) ; Lim, Teik C. (Vibro-Acoustics and Sound Quality Research Laboratory, College of Engineering and Applied Science, University of Cincinnati, 45221 Cincinnati, OH, USA ) ; Ding, Wei P. (Institute of Automotive Engineering Research, Southwest Jiaotong University, 610031 Cheng Du, Si Chuan, China ) ;
  • 초록  

    Abstract Vehicle interior noise has an important influence on the physical and psychological perceptions of passengers and their perception of vehicle quality. The identification of potential noise sources is necessary to effectively reduce vehicle interior noise and/or improve perceived vehicle quality. In this paper, a subjective evaluation of interior noise and vibration measurements was conducted. The contributions of different noise sources, such as the engine, transmission, and structure-borne noises that radiate from the vibrations of the car body panels, were investigated using continuous wavelet transform and partial coherence analysis methods to identify major sources of vehicle interior noise. The continuous wavelet transform results indicated that most interior noise was low and middle-frequency noise. The partial coherence analysis of the vibro-acoustical signals showed that the structural vibrations responsible for structure-borne noise contribute more to interior noise than airborne noise. This case study shows that one of the main sources of interior noise in the sample vehicle is the structure-borne noise that radiates from the car body panels connected to the front sub-frame. This structure-borne noise resulted from the low vibrational isolation ratio of the rear engine mount. In addition, to validate the effectiveness of the proposed method, another vehicle was tested to identify interior noise sources. For this vehicle, the structure-borne noise clearly radiated from the panel suspension. These findings can be further applied to facilitate the reduction of vehicle interior noise. Highlights An in-vehicle subjective evaluation is induced to identify noise sources. The entire vehicle system is considered when identifying interior noise sources. The global wavelet spectrum is used to analyze vibro-acoustical characteristics. Partial coherence and contribution analysis are used to rank the contributions.


  • 주제어

    Interior noise .   Noise sources .   Continuous wavelet transform .   Partial coherence analysis.  

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