Identification of Rotor Unbalanced Parameters Based on Chaos Particle Swarm Optimization

[1] pp. 51-65, (2015)

[2] WANG Xingxing, WU Zhenhuan, YANG Guoan, Et al., Theory and tests for least square influence coefficient method based on an improved particle swarm optimization algorithm, Journal of Vibration and Shock, 32, 8, pp. 100-104, (2013)

[3] YAO J, YANG F, SU Y, Et al., Balancing optimization of a multiple speeds flexible rotor, Journal of Sound and Vibration, 1, 1, (2020)

[4] ZHANG S H, ZHANG Z M., Online measuring and estimating methods for the unbalancing vector of thin-disc workpiece based on the adaptive influence coefficient, Journal of Vibration and Control, 27, pp. 1753-1764, (2021)

[5] (2020)

[6] ZHANG Y, MEI X, SHAO M, Et al., An improved holospectrum-based balancing method for rotor systems with anisotropic stiffness, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 227, 2, pp. 246-260, (2013)

[7] YUN X, MEI X, JIANG G, Et al., A new dynamic balancing method of spindle based on the identification energy transfer coefficient, Journal of Mechanical Science and Technology, 33, 10, pp. 4595-4604, (2019)

[8] ZOU D, ZHAO H, LIU G, Et al., Application of augmented Kalman filter to identify unbalance load of rotor-bearing system: theory and experiment, Journal of Sound and Vibration, 463, (2019)

[9] NORDMANN R, KNOPF E, ABRATE B., Numerical analysis of influence coefficients for on-site balancing of flexible rotors, International Confer - ence on Rotor Dynamics, pp. 157-172, (2018)

[10] RODRIGUES D J, CHAMPNEYS A R, FRISWELL M I, Et al., Automatic two-plane balancing for rigid rotors, International Journal of Non-Linear Mechanics, 43, 6, pp. 527-541, (2008)

[1] pp. 51-65, (2015)

[2] WANG Xingxing, WU Zhenhuan, YANG Guoan, Et al., Theory and tests for least square influence coefficient method based on an improved particle swarm optimization algorithm, Journal of Vibration and Shock, 32, 8, pp. 100-104, (2013)

[3] YAO J, YANG F, SU Y, Et al., Balancing optimization of a multiple speeds flexible rotor, Journal of Sound and Vibration, 1, 1, (2020)

[4] ZHANG S H, ZHANG Z M., Online measuring and estimating methods for the unbalancing vector of thin-disc workpiece based on the adaptive influence coefficient, Journal of Vibration and Control, 27, pp. 1753-1764, (2021)

[5] (2020)

[6] ZHANG Y, MEI X, SHAO M, Et al., An improved holospectrum-based balancing method for rotor systems with anisotropic stiffness, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 227, 2, pp. 246-260, (2013)

[7] YUN X, MEI X, JIANG G, Et al., A new dynamic balancing method of spindle based on the identification energy transfer coefficient, Journal of Mechanical Science and Technology, 33, 10, pp. 4595-4604, (2019)

[8] ZOU D, ZHAO H, LIU G, Et al., Application of augmented Kalman filter to identify unbalance load of rotor-bearing system: theory and experiment, Journal of Sound and Vibration, 463, (2019)

[9] NORDMANN R, KNOPF E, ABRATE B., Numerical analysis of influence coefficients for on-site balancing of flexible rotors, International Confer - ence on Rotor Dynamics, pp. 157-172, (2018)

[10] RODRIGUES D J, CHAMPNEYS A R, FRISWELL M I, Et al., Automatic two-plane balancing for rigid rotors, International Journal of Non-Linear Mechanics, 43, 6, pp. 527-541, (2008)