Page 450 - Thomson, William Tyrrell-Theory of Vibration with Applications-Taylor _ Francis (2010)
P. 450

Sec. 13.6   Power Spectrum and Power Spectral Density.         437





                            Xtal                              RMS    Figure 13.6-3.  Measurement of
                                      Ampi        Filter
                            Accel                             meter  random  data.
                              Fig.  13.6-3.  The  rms  voltmeter  should  have  a  long  time  constant,  which  corre­
                              sponds to  a  long averaging time.
                                  We  excite the  shaker by a wide-band random  input that is constant over the
                              frequency range 0 to 2000 Hz.  If the filter  is bypassed,  the  rms voltmeter will  read
                              the rms vibration  in the entire frequency spectrum.  By assuming an ideal filter that
                              will  pass all vibrations  of frequencies within  the  passband,  the  output  of the  filter
                              represents  a narrow-band vibration.
                                  We consider a central  frequency of 500  Hz and first set  the  upper and  lower
                              cutoff frequencies  at  580  and  420  Hz,  respectively.  The  rms  meter  will  now  read
                              only the vibration within  this  160-Hz band.  Let  us  say  that  the  reading  is  8g.  The
                              mean  square  value  is  then  G ifJ   =  6 4 and  its  spectral  density  is  5'(/,,)  =
                              6 4 g ^ / m   =  0.40gVHz.
                                  We  next  reduce  the  passband  to  40  Hz  by  setting the  upper  and  lower filter
                              frequencies to 520 and 480 Hz,  respectively. The  mean  square value passed  by the
                              filter  is  now  one-quarter  of the  previous value,  or  16^^^,  and  the  rms  meter  reads
                              4g.
                                  By reducing the passband  further to  10  Hz,  between 505  Hz and 495  Hz,  the
                              rms meter reading becomes  2g,  as  shown  in  the  following tabulation:


                                               Band­   RM S  Meter    Filtered     Spectral
                                   Frequencies  width   Reading     Mean Square     Density

                                      f         A /                G (./;,)=   A(a- )
                                    5 8 0-420   160                   6 4 ^ -     0.40<í^VHz
                                    5 2 0-480   40                     16.G       0.40^-VHz
                                    505-495     10        2/Í          4 ^ -      OAOg^/Hz

                              Note that as the bandwidth  is reduced,  the  mean square value passed by the filter,
                              or  G(/^),  is  reduced  proportionally.  However,  by  dividing  by  the  bandwidth,  the
                              density  of  the  mean  square  value,  SifJ,   remains  constant.  The  example  clearly
                              points out  the  advantage of plotting  Sif^^) instead of  G(/„).
                                  The  PSD can  also be expressed  in  terms of the  delta function.  As seen  from

                              Fig.  13.6-4, the area of a rectangular pulse of height  1/A / and width  A /  is always
                              unity,  and  in  the  limiting  case,  when  A /   0,  it  becomes  a  delta  function.  Thus,
                              S(f) becomes
                                                                G(f,]
                                        S { f ) =  WmSi f , )  lim      G ( / ) 5 ( / - / , )
                                               A/'-^O      A /-^()  A/
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