Noise Control Engineering Journal

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  Año 2022, Vol. 70, Número 4

  • The use of artificial neural networks to predict tonal sound annoyance based on noise metrics and psychoacoustics parameters

    Marzieh Sadeghian, Soroor Shekarizadeh, Milad Abbasi, Seyed Mahdi Mousavi, Saeid Yazdanirad

    • Resumen

    págs. 309-322

    

  • Theoretical and experimental investigations for noise reduction of clearance joints in vertical vibrations

    Milad Sadri, Mohammad Reza Forouzan

    • Resumen

    págs. 323-330

    

  • Development of direct acoustic energy flow analysis (DAEFA) for ship cabin noise in the medium-to-high frequency range

    Tae Gyoung Kim, Suk Yoon Hong, Jee Hun Song, Hyun Wung Kwon, Sung Hoon Kim

    • Resumen

    págs. 331-343

    

  • Case study: Analysis of acoustic-structure coupling noise characteristics of the exhaust muffler of an internal combustion engine

    Zhenhua Hou, Tengfei Si, Shiliang Zhang, Zhijun Zhang, Jiyu Sun

    • Resumen

    págs. 344-363

    

  • Research on pipeline state recognition method based on acoustic signal frame PCA

    Fengfeng Bie, Yue Guo, Cheng Gu, Gang Yang, Mingjun Pang

    • Resumen

    págs. 364-375

    

  • Noise distribution law of air-conditioning ducts for metro vehicles

    Xiaobo Liu, Zhongcheng Jiang, Xianfeng Wanga, Dengke Li

    • Resumen

    págs. 376-383

    

  • A method of generating car sounds based on granular synthesis algorithm

    Liping Xie, Chihua Lu, Zhien Liu, Yawei Zhu, Weizhi Song

    • Resumen

    págs. 384-393