Discomfort estimation for aircraft cabin noise using linear regression and modified psychoacoustic annoyance approaches

被引:0
|
作者
Huang, Yu [1 ,2 ]
Lv, Bingcong [1 ]
Ni, Ke [1 ]
Jiang, Weikang [1 ,2 ]
机构
[1] Shanghai Jiao Tong Univ, Inst Vibrat Shock & Noise, Sch Mech Engn, Shanghai 200240, Peoples R China
[2] Shanghai Jiao Tong Univ, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
SOUND QUALITY; MODEL; IMPROVEMENT; COMFORT; ROAD; VIBRATION;
D O I
10.1121/10.0020838
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Appropriate sound quality models for noise-induced discomfort are necessary for a better acoustic comfort design in the aircraft cabin. This study investigates the acoustic discomfort in two large passenger aeroplanes (i.e., planes A and B). We recorded the noise at 21 positions in each aircraft cabin and selected 42 stimuli ranging from 72 to 81 dB(A) during the cruising flights. Twenty-four participants rated the noise discomfort by the absolute magnitude estimation method. The discomfort values in the middle section of the aircraft cabin are 10% points higher than in the front or rear section. The discomfort magnitude was dominated by loudness and influenced by roughness and sharpness. A multiple linear (MA) discomfort model was established, accounting for the relationship between the discomfort and sound quality metrics (i.e., loudness, sharpness, and roughness). The MA model estimated noise discomfort better than the Zwicker and other (i.e., More and Di) psychoacoustic annoyance (PA) models. We modified the coefficients of independent variables in the formulations of Zwicker, Di, and More PA models, respectively, according to the present experimental results. The correlation coefficients between the estimated and measured values of the modified models were at least 20% points higher than the original ones. (c) 2023 Acoustical Society of America.
引用
收藏
页码:1963 / 1976
页数:14
相关论文
共 50 条
  • [11] Discomfort estimation for vertical whole-body vibration in the aircraft cabin considering the duration and static sitting comfort
    Huang, Yu
    Li, Jingdong
    ERGONOMICS, 2024, 67 (03) : 327 - 338
  • [12] Noise evaluation in the tourist cabin of high-speed train by using aircraft noise criterion
    Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu 610031, China
    Jixie Gongcheng Xuebao, 2013, 16 (33-38):
  • [13] Linear unbiased estimation for regression models with stationary noise
    Poix, J
    Solev, VN
    COMPTES RENDUS DE L ACADEMIE DES SCIENCES SERIE I-MATHEMATIQUE, 2001, 333 (01): : 55 - 60
  • [14] Estimation of the signal-to-noise in the linear regression model
    Eshetu Wencheko
    Statistical Papers, 2000, 41 : 327 - 343
  • [15] Estimation of the signal-to-noise in the linear regression model
    Wencheko, E
    STATISTICAL PAPERS, 2000, 41 (03) : 327 - 343
  • [16] Active control of aircraft cabin noise using collocated structural actuators and sensors
    Grewal, A
    Nitzsche, F
    Zimcik, DG
    Leigh, B
    JOURNAL OF AIRCRAFT, 1998, 35 (02): : 324 - 331
  • [17] Active Noise Control in Light Aircraft Cabin Using Multichannel Coherent Method
    Miljkovic, Dubravko
    AUTOMATIKA, 2016, 57 (04) : 1056 - 1069
  • [18] Signal-to-noise Ratio Estimation Technique for SEM Image using Linear Regression
    Yeap, Z. X.
    Sim, K. S.
    Tso, C. P.
    PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON ROBOTICS, AUTOMATION AND SCIENCES (ICORAS 2016), 2016,
  • [19] Active cabin noise and vibration control for turboprop aircraft using multiple piezoelectric actuators
    Grewal, A
    Zimcik, DG
    Hurtubise, L
    Leigh, B
    JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 2000, 11 (06) : 438 - 447
  • [20] Estimation of Linear Regression Confidence Bands in Case of Correlated Noise
    Chunovkina, Anna
    Stepanov, Alexander
    2019 PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON MEASUREMENT (MEASUREMENT 2019), 2019, : 58 - 61