Abstract
High-tech electronics workshop typically has stringent requirements for micro-vibration control, so as to ensure the proper operation of the installed vibration-sensitive facilities. Based on a micro-vibration measurement on a high-tech electronics workshop in Guangzhou, China, this paper reports the test data, presents a systematic and detailed summary of issues related to vibration data processing, and analyzes the transformation of the vibration characteristics when the anti-vibration techniques enhances. The results show that, the one-third octave band spectral has great advantages in representing vibration data of high-tech buildings. With the enhancement of the anti-vibration techniques, the vibration amplitudes in all of the three directions decrease both in time-history and one-third octave band spectral and finally become roughly the same; and the dominant high-frequency component disappears, while the relative low-frequency component takes the leading role in all the three directions.
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Acknowledgements
The work described in this paper was supported by the National Science Foundation of China (Grant no. 51178342) and the Specialized Research Fund for the Doctoral Program of Higher Education, China (20130072110016).
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Appendix 1: MATLAB Codes for rms Calculation
Appendix 1: MATLAB Codes for rms Calculation
Core Codes for rms Calculation in Frequency Domain Using Eq. (7)
f=[1.00 1.25 1.60 2.00 2.50 3.15 4.00 5.00 6.30 8.00]; fc=[f,10*f,100*f,1000*f,10000*f];           % set the value of the center frequency oc6=2^(1/6); a=fft(x,nfft);                                           % FFT on signal x for j=1:nc     fl=fc(j)/oc6;                                        % lower bound     fu=fc(j)*oc6;                                       % upper bound     nl=round(fl*nfft/sf+1);                         % position of the lower bound     nu=round(fu*nfft/sf+1);                       % position of the upper bound     if fu>sf/2         m=j-1; break;                           % the loop ended when the upper bound reaches     end                                              % half the sampling rate/cut-off frequency      yc(j)=norm(abs(a(nl:nu)))*sqrt(2)/n;    % Eq. (7) end
Core Codes for rms Calculation in Time Domain Using Eq. (5b)
f=[1.00 1.25 1.60 2.00 2.50 3.15 4.00 5.00 6.30 8.00]; fc=[f,10*f,100*f,1000*f,10000*f]; oc6=2^(1/6); a=fft(x,nfft); for j=1:nc     fl=fc(j)/oc6;       fu=fc(j)*oc6;       nl=round(fl*nfft/sf+1);      nu=round(fu*nfft/sf+1);      if fu>sf/2         m=j-1; break;     end     b=zeros(1,nfft);     b(nl:nu)=a(nl:nu);     b(nfft-nu+2:nfft-nl+2)=a(nfft-nu+2:nfft-nl+2);   % Filtering of desired bandwidth     c=ifft(b,nfft);                                                            % inverse FFT on the filtered signal     yc(j)=norm(real(c(1:n)))/sqrt(nfft);                    % Eq.(5b) end
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Chen, J., Gao, G., Song, J., Zhang, W. (2018). Micro-vibration Measurement and Analysis of High-Tech Electronics Workshop in Guangzhou. In: Bian, X., Chen, Y., Ye, X. (eds) Environmental Vibrations and Transportation Geodynamics. ISEV 2016. Springer, Singapore. https://doi.org/10.1007/978-981-10-4508-0_24
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DOI: https://doi.org/10.1007/978-981-10-4508-0_24
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