Condition diagnosis for rotating machinery by information divergence

Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering

Volumn 66, Issue 1, 2000, Pages 157-162

  Liu, Xinfang ^a   Toyota, Toshio ^a   Chen, Peng ^a   Feng, Fang ^a   Niho, Tomoya ^a  

^a NONE

Author keywords

Condition diagnosis; Information divergence; Kullback Leibler information; Probability density function; Rotating machinery; Vibration signal

Indexed keywords

EID: 30744441629     PISSN: 09120289     EISSN: None     Source Type: Journal    
DOI: 10.2493/jjspe.66.157     Document Type: Article

References (7)

1. X. Liu, T. Toyota, P. Chen, F. Feng and Z. He : Study on Deterioration Trend Control for Rotating Machinery Using Information Divergence, Proc. 1999 Int. Con. Advanced Manufacturing Technology, Science Press New York, Ltd., (1999) 1041.
2. S. Kullback : Information Theory and Statistics, John Wiley & Sons, Inc., New York, (1959).
3. Yi-Teh Lee : Information-Theoretic Distortion Measures for Speech Recognition. IEEE Trans. Signal Processing. 39, 2, (1991) 330.