Page 442 - Thomson, William Tyrrell-Theory of Vibration with Applications-Taylor _ Francis (2010)
P. 442

Sec.  13.4   Probability  Distribution                         429

                              number,  is  found  from  the  equation
                                                                    1  r\(T  -   "
                                          Prob  [-A( t < x(/)  <A(t ]  /          i/,v   (13.4-9)

                                                                 (j 41iT •' -AiJ
                                                                        —  A / r
                              The  following  table  presents  numerical  values  associated  with  A  =  1,2,  and  3.
                                             A     Prob[ -   Afr  <   A'(/)  <   Aijr]   P r o b [ |.\ !  >   Arr]
                                                        68.37r           31.7%
                                                        95.4%             4.6%
                                                        99.7%             0.3%


                              The  probability  of  x(r)  lying  outside  ±Arr  is  the  probability  of  U|  exceeding  Arr,
                              which  is  1.0  minus  the  preceding values,  or  the  equation

                                         Prob [U |  >  Afj]  =                               10)

                                  Random  variables  restricted  to  positive  values,  such  as  the  absolute  value  A
                              of  the  amplitude,  often  tend  to  follow  the  Rayleigh  distribution,  which  is  defined
                              by  the  equation
                                                  p{A)  =  —          A  >  0           (13.4-11)
                                                          (T"
                              The  probability  density  p{A)  is  zero  here  for  A  <  0  and  has  the  shape  shown  in
                              Fig.  13.4-6.
                                  The mean  and mean  square values for the  Rayleigh distribution  can  be  found
                              from  the  first  and  second  moments  to  be
                                           _   ^00                             A
                                           A  =  f   Ap(A dA  =  I  ~    dA  =  - i/4
                                                      )
                                               ■'ll         -'ll  (r~ V ^
                                                                                        (13.4-12)
                                          A^  = /  A^p{A  )  dA  =  I   '  dA  2rr"
                                                              0  (r
                                   p(A)
                                     0.6
                                              \   Rayleigh distribution
                                     0.5
                                     0.4
                                     0.3
                                     0.2
                                     0.
                                                                     Figure  13.4-6.  Rayleigh dislrihu-
                                     -O                              tion.
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