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A New Balancing Method for Flexible Rotors Based on Neuro-fuzzy System and Information Fusion

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Fuzzy Systems and Knowledge Discovery (FSKD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3613))

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Abstract

This paper presents a new field balancing method for flexible rotors, which is based on adaptive neuro-fuzzy inference system (ANFIS) and information fusion. Firstly, new method fully utilizes the information supplied from all proximity sensors by holospectral technique for enhancing the balancing efficiency and accuracy. Secondly, a fuzzy model is established to simulate the mapping relationship between vibration responses and balancing weights using the ANFIS. The inputs of ANFIS are the amplitudes and phases of integrated vibration responses, while the outputs are the mass and azimuth of balancing weights. The experimental results show that the fuzzy balancing model based on ANFIS can obtain satisfactory balancing result after a single trial run, and possesses prospects of application in field balancing.

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References

  • Jang, J.-S.R.: ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans. Syst. Man Cybern. 23(3), 665–685 (1993)

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  • Qu, L., Xu, G.: One Decade of Holospectral Technique: Review and Prospect. In: Proceedings of the 1999 ASME Design Engineering Technical Conferences (1999)

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Author information

Authors and Affiliations

  1. State Key Lab for Manufacturing Systems Engineering, Xi’an Jiaotong University, 710049, Xi’an, P.R. China

    Shi Liu

Authors
  1. Shi Liu
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. Honda Research Institute Europe GmbH, Offenbach/Main, Germany

    Yaochu Jin

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© 2005 Springer-Verlag Berlin Heidelberg

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Liu, S. (2005). A New Balancing Method for Flexible Rotors Based on Neuro-fuzzy System and Information Fusion. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_94

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  • DOI: https://doi.org/10.1007/11539506_94

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28312-6

  • Online ISBN: 978-3-540-31830-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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