Page 433 - Thomson, William Tyrrell-Theory of Vibration with Applications-Taylor _ Francis (2010)
P. 433

420                                      Random Vibrations   Chap. 13











                                            Figure  13.1-1.  A record of random time functions.


                                          p{f)-



                                          pit)-


                                          pit)-

                                                    U - .-

                                           Figure  13.1-2.  An ensemble of random  time  functions.

                                  If  the  ensemble  averages  are  replaced  next  by  time  averages,  and  if  the
                              results computed  from  each  sample  are  the  same  as  those  of any other sample  and
                              equal  to  the  ensemble  average,  then  the  random  process  is  said  to  be  ergodic.
                                  Thus,  for  a  stationary  ergodic  random  phenomenon,  its  statistical  properties
                              are  available  from  a  single  time  function  of  a  sufficiently  long  time  period.
                              Although  such  random  phenomena  may  exist  only  theoretically,  its  assumption
                              greatly  simplifies  the  task  of  dealing  with  random  variables.  This  chapter  treats
                              only  this  class  of stationary  ergodic  random  functions.


                       13.2  TIME AVERAGING AND EXPECTED VALUE

                                  Expected value.   In  random  vibrations,  we  repeatedly  encounter  the  con­
                              cept  of time  averaging over  a  long  period  of time.  The  most  common  notation  for
                              this  operation  is  defined  by  the  following  equation  in  which  x{t)  is  the variable.
                                                 x { t ) = { x { t ) ) =  Wva  (  x{t) dt   (13.2-1)
                                                               7'_^oc   ^0
                              This  number  is  also  equal  to  the  expected value  of  x{t),  which  is written  as
                                                   E[x{t)]  =  lim  Y   Í  '^ (0         (13.2-2)
                                                             7 ' - > o c   ^  ^0
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