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Authors: Masahiro Tsunoyama 1 ; Kensuke Masumori 1 ; Hayato Hori 2 ; Hirokazu Jinno 2 ; Masayuki Ogawa 2 and Tatsuo Sato 2

Affiliations: 1 Niigata Institute of Technology, Japan ; 2 Niigata-Worthington Co. and Ltd, Japan

ISBN: 978-989-8425-32-4

Keyword(s): Fault diagnosis, Fuzzy measure, Fuzzy integral, Vibration diagnosis.

Related Ontology Subjects/Areas/Topics: Approximate Reasoning and Fuzzy Inference ; Artificial Intelligence ; Computational Intelligence ; Fuzzy Information Processing, Fusion, Text Mining ; Fuzzy Systems ; Soft Computing ; System Identification and Fault Detection

Abstract: In the fault diagnosis of rotating machinery using fuzzy measures and fuzzy integrals, the optimization of membership functions and identification of fuzzy measures are important for accurate diagnosis. Herein, a method for optimizing membership functions is proposed based on the statistical properties of vibration spectra and identifying fuzzy measures based on interaction levels using partial correlation coefficients between spectra. The possibility of a given fault is obtained from fuzzy integrals using membership degrees determined by the membership function, and the fuzzy measures for the set of spectra. The method is also evaluated using the example of diagnosis of misalignment and unbalance faults.

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Paper citation in several formats:
Tsunoyama, M.; Masumori, K.; Hori, H.; Jinno, H.; Ogawa, M. and Sato, T. (2010). FAULT DIAGNOSIS IN ROTATING MACHINERY USING FUZZY MEASURES AND FUZZY INTEGRALS .In Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICFC, (IJCCI 2010) ISBN 978-989-8425-32-4, pages 120-124. DOI: 10.5220/0003056001200124

@conference{icfc10,
author={Masahiro Tsunoyama. and Kensuke Masumori. and Hayato Hori. and Hirokazu Jinno. and Masayuki Ogawa. and Tatsuo Sato.},
title={FAULT DIAGNOSIS IN ROTATING MACHINERY USING FUZZY MEASURES AND FUZZY INTEGRALS },
booktitle={Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICFC, (IJCCI 2010)},
year={2010},
pages={120-124},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003056001200124},
isbn={978-989-8425-32-4},
}

TY - CONF

JO - Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICFC, (IJCCI 2010)
TI - FAULT DIAGNOSIS IN ROTATING MACHINERY USING FUZZY MEASURES AND FUZZY INTEGRALS
SN - 978-989-8425-32-4
AU - Tsunoyama, M.
AU - Masumori, K.
AU - Hori, H.
AU - Jinno, H.
AU - Ogawa, M.
AU - Sato, T.
PY - 2010
SP - 120
EP - 124
DO - 10.5220/0003056001200124

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