Paper Abstract and Keywords |
Presentation |
2009-11-20 09:15
Diagnosis of Failure of Machine by Using the Higher-Order Correlation Information between Sound and Vibration Akira Ikuta (Pref. Univ. of Hiroshima), Hisako Orimoto (Hiroshima Nat Coll. of Maritime Tech.), Akiko Douno (Pref. Univ. of Hiroshima), Mitsuo Ohta (Hiroshima Univ.) EA2009-84 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this study, a stochastic diagnosis method based on the changing information of not only a linear correlation but also the higher order nonlinear correlation is proposed in a form suitable for on-line signal processing in time domain by using a personal computer, especially in order to find minutely the mutual relationship between sound and vibration emitted from rotational machines. More specifically, a conditional probability hierarchically reflecting various types of correlation information is theoretically derived by introducing an expression on the multi-dimensional probability distribution in orthogonal expansion series form. The effectiveness of the proposed theory is experimentally confirmed by applying it to the observed data emitted from a rotational machine driven by an electric motor. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Higher order correlation / conditional probability / relationship between sound and vibration / changing information of correlation characteristics / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 109, no. 286, EA2009-84, pp. 49-54, Nov. 2009. |
Paper # |
EA2009-84 |
Date of Issue |
2009-11-12 (EA) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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EA2009-84 |