Page 438 - Thomson, William Tyrrell-Theory of Vibration with Applications-Taylor _ Francis (2010)
P. 438

Sec. 13.4   Probability Distribution                          425


                                           0> m
                                           n
                                           c  C
                                           o
                                           5  I   0.5   I I.0   I.5
                                                         0
                                                        .
                                                       <o/w„
                                           o ^
                                           O' Q.
                                           o) ir
                                                  0.5   I.O    I.5   Figure 13.3-2.  Input and output
                                                      w/u>„          spectra with  discrete frequencies.

                                  Substituting these values into  x{t), we obtain  the equation
                                                 x(t)  =  J [1.29cos (0.5o)„i  -   0.083tt)
                                                       + 2.50 COS   -   0.507t)
                                                       + 0.72 cos (1.5io„r  +  0.1427t)]
                                  The  mean  square  response  is then
                                                  -
                                                  X    =  —  I[(1.29f  +  (2.50)^  +  (0.72)‘]
                                                      2k^ '
                                      Figure  13.3-2 shows the input and output spectra for the problem.  The compo­
                                  nents of the mean square  input  are  the  same  for each frequency  and equal  to  F^/2.
                                  The output spectrum  is modified by the system frequency-response  function.


                       13.4  PROBABILITY DISTRIBUTION
                              By referring to the  random time  function of Fig.  13.4-1, what  is the  probability of
                              its  instantaneous value  being  less  than (more  negative  than)  some  specified value
                             Xj? To answer this question, we draw a horizontal line at the specified value   and
                              sum the  time  intervals  Af-  during which  x(t)  is  less than  Xj.  This  sum  divided by
                              the  total  time  then  represents  the  fraction  of the  total  time  that  x(t)  is  less  than












                                           Figure 13.4-1.  Calculation of cumulative probability.
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