Browse > Article

Simplified Machine Diagnosis Techniques by Impact Vibration using n-th Moment of Absolute Deterioration Factor  

Takeyasu, Kazuhiro (College of Economics Osaka Prefecture University)
Amemiya, Takashi (Faculty of Business Administration and Information Setsunan University)
Tanaka, Jumpei (Department of Industrial Engineering Tokyo Metropolitan Institute of Technology)
Masuda, Shiro (Department of Industrial Engineering Tokyo Metropolitan Institute of Technology)
Publication Information
Industrial Engineering and Management Systems / v.4, no.1, 2005 , pp. 68-74 More about this Journal
Abstract
Among many dimensional and dimensionless amplitude parameters, kurtosis (4-th normalized moment of probability density function) is generally regarded as a sensitive good parameter for machine diagnosis. However, higher order moment may be supposed to be much more sensitive. Bicoherence is an absolute deterioration factor whose range is 1 to 0. The theoretical value of n-th moment divided by n-th moment calculated by measured data would behave in the same way. We propose a simplified calculation method for an absolute index of n-th moment and name this as simplified absolute index of n-th moment. Some favorable results are obtained.
Keywords
impact vibration; probability density function; kurtosis; n-th moment;
Citations & Related Records
연도 인용수 순위
  • Reference