An improved OPAX method based on moving multi-band model

被引:11
|
作者
Wang, Zengwei [1 ]
Zhu, Ping [1 ]
Shen, Yang [2 ]
Huang, Yuanyi [2 ]
机构
[1] Shanghai Jiao Tong Univ, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China
[2] SAIC GM Wuling Automobile Co Ltd, Liuzhou 545000, Guangxi, Peoples R China
关键词
Transfer path analysis; Force identification; Mount stiffness; Estimation uncertainty; Automotive; TRANSFER PATH-ANALYSIS; FREQUENCY-RESPONSE FUNCTIONS; IDENTIFICATION; PREDICTION; VALIDATION;
D O I
10.1016/j.ymssp.2018.12.030
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In this paper, a transfer path analysis (TPA) method - OPAX is further improved. The new method uses multiple estimates of the dynamic mount stiffness in the multi-band OPAX method to increase the estimation accuracy. A moving multi-band model is used to establish the parametric load model. Two statistical metrics are introduced to evaluate the estimation uncertainty, and a strategy for iteratively calculating operational forces whilst quantitatively assessing estimation accuracy is proposed by combining the two metrics. A numerical case is used to illustrate the proposed method. The results show that this method not only produces better estimation than the multi-band model method, but also evaluates estimation accuracy quantitatively by itself. Then the proposed method is investigated and demonstrated by a vehicle example and a rule of thumb is formulated. Lastly, a test campaign is carried out on a full vehicle to validate the proposed method. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:321 / 341
页数:21
相关论文
共 50 条
  • [1] Source contribution analysis of vehicle pass-by noise using a moving multi-band model based OPAX method
    Liu, Ce
    Zhang, Yi-Hao
    Zhang, Xiao-Zheng
    Zhang, Yong -Bin
    Chen, Li-Qing
    MEASUREMENT, 2023, 218
  • [2] Speech enhancement method based on multi-band excitation model
    Huang, Qizheng
    Bao, Changchun
    Wang, Xianyun
    Xiang, Yang
    APPLIED ACOUSTICS, 2020, 163
  • [3] Multi-band Monte Carlo method using anisotropic-analytical multi-band model
    Yamaji, M
    Taniguchi, K
    Hamaguchi, C
    SISPAD '96 - 1996 INTERNATIONAL CONFERENCE ON SIMULATION OF SEMICONDUCTOR PROCESSES AND DEVICES, 1996, : 63 - 64
  • [4] Improved multi-band spectral subtraction method for speech enhancement
    Ghanbari, Y
    Karami-Mollaei, MR
    Amelifard, B
    PROCEEDINGS OF THE SIXTH IASTED INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING, 2004, : 225 - 230
  • [5] An improved denoise method based on EEMD and optimal wavelet threshold for model building of OPAX
    Chen, Ke
    Zhang, Xiaodong
    Liu, Yubo
    Ma, Jun
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2021, 235 (14) : 3530 - 3544
  • [6] A Markov random field based multi-band model
    Gravier, G
    Sigelle, M
    Chollet, G
    2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI, 2000, : 1619 - 1622
  • [7] MULTI-BAND PIT AND MODEL INTEGRATION FOR IMPROVED MULTI-CHANNEL SPEECH SEPARATION
    Chen, Lianwu
    Yu, Meng
    Su, Dan
    Yu, Dong
    2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019, : 705 - 709
  • [8] Moving Target Detection for a Multi-Band Pushbroom Sensor
    Cheng, Beato T.
    AIRBORNE INTELLIGENCE, SURVEILLANCE, RECONNAISSANCE (ISR) SYSTEMS AND APPLICATIONS VII, 2010, 7668
  • [9] Multi-band Image Registration Method Based on Fourier Transform
    庹红娅
    刘允才
    Journal of Shanghai Jiaotong University, 2004, (03) : 31 - 36
  • [10] Image Fusion Method Based on Multi-band Wavelet Transform
    Wang, YuanGan
    ADVANCES IN COMPUTER SCIENCE, INTELLIGENT SYSTEM AND ENVIRONMENT, VOL 3, 2011, 106 : 151 - 157