A new balancing method for flexible rotors based on neuro-fuzzy system and information fusion

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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. © Springer-Verlag Berlin Heidelberg 2005.

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Liu, S. (2006). A new balancing method for flexible rotors based on neuro-fuzzy system and information fusion. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3613 LNAI, pp. 757–760). Springer Verlag. https://doi.org/10.1007/11539506_94

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