Ambient suppression in vibration bump test using wavelet-based filter

被引:0
|
作者
Nizwan, C. K. E. [1 ]
Ghazali, M. F. [1 ]
Yusof, A. R. [1 ]
机构
[1] Univ Malaysia Pahang, Fac Mech & Mfg Engn, Pahang, Malaysia
来源
5TH INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING RESEARCH 2019 (ICMER 2019) | 2020年 / 788卷
关键词
Modal Analysis; Vibration Measurement; Wavelet Transform; Filter; Ambient suppression; OPERATIONAL MODAL-ANALYSIS;
D O I
10.1088/1757-899X/788/1/012087
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Modal analysis is generally used to determine the structural dynamic characteristics of a system through experimental. The main purpose of a modal analysis is to identify the modal parameter, which consists of natural or resonant frequencies, mode shapes and damping. However, this technique required all the system in shut down condition in order to perform modal testing. The presence of ambient force such as motor unbalanced can cause errors in measurement of time response. Therefore, a study on how to improve the quality of the acquired signals in EMA is crucial in order to increase the efficiency of EMA technique under the presence of ambient force. This paper introduces a method to eliminate the ambient component in measured vibration response using the wavelet-based filter. The two experiments have been carried involving two different conditions, shutdown condition and operating condition. The sources of the ambient in operating condition are induced from a motor and speed controller cooling fan. The proposed method utilizes the discrete wavelet transform (DWT) and improvised spectral subtraction in filtering the ambient. The discrete wavelet transform (DWT) is applied to both ambient data and total response data to decompose the signal by a factor of two into several levels of the wavelet decomposition. The modification of the discrete wavelet transform (DWT) method has been done where the wavelet thresholding is replaced with the spectral subtraction to suppress the ambient in the signal. The spectral subtraction is used to suppress the ambient in each wavelet coefficient at each level of decomposition to avoid the losses of useful signal data while filtering the ambient. The decomposed wavelet signal is reconstructed and the result is being compared with the baseline data. The Frequency Response Function obtained from the reconstructed signal shows the harmonics feature from ambient excitation were successfully suppressed. The results show that the proposed approach is effective to suppress the ambient effect in vibration response measurement.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] Wavelet-Based Image Texture Classification Using Local Energy Histograms
    Dong, Yongsheng
    Ma, Jinwen
    IEEE SIGNAL PROCESSING LETTERS, 2011, 18 (04) : 247 - 250
  • [42] A wavelet-based Bayesian damage identification technique using an evolutionary algorithm
    Varmazyar, Maryam
    Haritos, Nicholas
    Kirley, Michael
    AUSTRALIAN JOURNAL OF STRUCTURAL ENGINEERING, 2016, 17 (04) : 225 - 241
  • [43] Wavelet-based image compression using classified interpolative vector quantization
    Bi, M
    Ong, SH
    Ang, YH
    OPTICAL ENGINEERING, 2002, 41 (07) : 1528 - 1535
  • [44] Wavelet-based, texture analysis and synthesis using hidden Markov models
    Fan, GL
    Xia, XG
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2003, 50 (01) : 106 - 120
  • [45] Resolution enhancement of composite spectra using wavelet-based derivative spectrometry
    Kharintsev, SS
    Kamalova, DI
    Salakhov, MK
    Sevastianov, AA
    SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2005, 61 (1-2) : 149 - 156
  • [46] Adaptive pulsar time delay estimation using wavelet-based RLS
    Kang, Zhiwei
    He, Hongcai
    Liu, Jin
    Ma, Xin
    Gui, Mingzhen
    OPTIK, 2018, 171 : 266 - 276
  • [47] Adaptive Blocking Artifact Reduction using Wavelet-Based Block Analysis
    Kim, Jongho
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2009, 55 (02) : 933 - 940
  • [48] Differentiating Between Images Using Wavelet-Based Transforms: A Comparative Study
    Ozparlak, Levent
    Avcibas, Ismail
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2011, 6 (04) : 1418 - 1431
  • [49] Process trend analysis using wavelet-based de-noising
    Bakhtazad, A
    Palazoglu, A
    Romagnoli, J
    CONTROL ENGINEERING PRACTICE, 2000, 8 (06) : 657 - 663
  • [50] Towards a content-based video retrieval system using wavelet-based signatures
    Robles, OD
    Toharia, P
    Rodríguez, A
    Pastor, L
    PROCEEDINGS OF THE SEVENTH IASTED INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS AND IMAGING, 2004, : 344 - 349