Abstract
This paper shows an application of fuzzy measure and fuzzy integral for diagnosing faults in rotating machines. The fuzzy degrees for fuzzy set of vibration spectra are determined by the membership functions for spectra. The functions are composed using values in the syndrome matrices given by the knowledge of skilled engineers. The fuzzy measures for the set of spectra and for the groups are obtained from the weights of spectra and weighs of groups based on the definition shown in this paper. Both of the weight s are shown in the syndrome matrices and given by skilled engineers.
The possibility of faults can be obtained by fuzzy integrals for faults using fuzzy degrees and fuzzy measures. The paper also evaluates the method using both test and field data.
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© 2009 Springer-Verlag Berlin Heidelberg
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Tsunoyama, M., Jinno, H., Ogawa, M., Sato, T. (2009). An Application of Fuzzy Measure and Integral for Diagnosing Faults in Rotating Machines. In: Koutsojannis, C., Sirmakessis, S. (eds) Tools and Applications with Artificial Intelligence. Studies in Computational Intelligence, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88069-1_10
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DOI: https://doi.org/10.1007/978-3-540-88069-1_10
Publisher Name: Springer, Berlin, Heidelberg
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