By Victor M. Baranov,Evgeny M. Kudryavtsev,Gennady .A. Sarychev, et al.Elsevier|Elsevier Science||Elsevier ScienceAdult NonfictionScience, Technology, EngineeringLanguage(s): EnglishOn sale date: 08.04.2011Street date: 29.07.2011Preview
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Extra info for Acoustic Emission in Friction
V. A. Shtremel, Acoustic emission characteristics describing single brittle crack, Defect Control (in Russian), 1994, no 12, pp. 29–34. 19. M. Rogers, The application of vibration signature analysis and acoustic emission source location to on-line condition monitoring of anti–friction bearing, Tribology International, 1979, vol. 12, no 2, pp. 51–59. 20. A. M. Schavelin, Acoustic emission method for research and control of friction pairs, Tribology International, 1991, vol. 24, no 1, pp. 11–16. 36 CHAPTER 1 21.
8) that the lesser (or the gage quality factor), the closer is the amplitude distribution at predetection count to the initial distribution. 8) serves to reconstruct the initial amplitude distribution of AE pulses based on the distribution registered at predetection count. It is apparent that the same reasoning is true for the amplitude-time distribution of AE pulses. In this case n A should be replaced with a function describing the amplitude-time distribution of pulses n A, t). The obtained relations allow one to determine a correlation between the total AE N and the count rate N˙ at predetection and postdetection count.
In the latter case the size of the junctions is of great importance. 5. INFORMATIVE CONTENT OF CHARACTERISTICS OF ACOUSTIC EMISSION AT FRICTION AE signals in solids result from a variety of discrete random events, therefore the acoustic emission itself should be considered as a random (stochastic) process. Such processes should be described and analysed based on the random process theory and using mathematical statistics methods with account for the character of signal transformation in the measuring system.