Analysis reveals the effectiveness of the 6th normalized moment in diagnosing machine failures through simplified models.
Among many dimensional and dimensionless amplitude parameters, kurtosis (4th normalized moment of probability density function) is recognized to be a sensitive good parameter for machine diagnosis. In this paper, simplified calculation method of 6^ normalized moment is introduced for the analysis of impact vibration with one sided affiliated impact vibration which occurs towards the progress of time. That phenomenon is often watched in the failure of such as bearings. One sided affiliated impact vibration is approximated by one sided triangle towards the progress of time and simplified calculation method is introduced. Varying the shape of one sided triangle, various models are examined and it is proved that new index is a sensitive good index for machine failure diagnosis. Utilizing this method, the behavior of 6^ normalized moment is forecasted and analyzed while watching machine condition and exquisite diagnosis is executed.
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Higuchi et al. (2007) studied this question.
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