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Single-sensor rotating blade monitoring method under non-stationary conditions based on velocity and displacement.
Bian, Zifang; Yang, Yongmin; Guan, Fengjiao; Hu, Haifeng; Shen, Guoji; Pan, Minghao.
Afiliação
  • Bian Z; College of Intelligence Science and Technology, National University of Defense Technology, China; National Key Laboratory of Equipment State Sensing and Smart Support, National University of Defense Technology, Changsha 410073, China. Electronic address: bzfdbdx@163.com.
  • Yang Y; College of Intelligence Science and Technology, National University of Defense Technology, China; National Key Laboratory of Equipment State Sensing and Smart Support, National University of Defense Technology, Changsha 410073, China. Electronic address: yangyongmin@163.com.
  • Guan F; College of Intelligence Science and Technology, National University of Defense Technology, China; National Key Laboratory of Equipment State Sensing and Smart Support, National University of Defense Technology, Changsha 410073, China. Electronic address: gfj0921@163.com.
  • Hu H; College of Intelligence Science and Technology, National University of Defense Technology, China; National Key Laboratory of Equipment State Sensing and Smart Support, National University of Defense Technology, Changsha 410073, China. Electronic address: hhf_online@163.com.
  • Shen G; College of Intelligence Science and Technology, National University of Defense Technology, China; National Key Laboratory of Equipment State Sensing and Smart Support, National University of Defense Technology, Changsha 410073, China. Electronic address: shenguoji@nudt.edu.cn.
  • Pan M; College of Intelligence Science and Technology, National University of Defense Technology, China; National Key Laboratory of Equipment State Sensing and Smart Support, National University of Defense Technology, Changsha 410073, China. Electronic address: panminghao15@nudt.edu.cn.
ISA Trans ; 152: 385-407, 2024 Sep.
Article em En | MEDLINE | ID: mdl-39003096
ABSTRACT
A novel single-sensor method for monitoring rotating blade vibration is proposed and utilized to identify vibration parameters under the non-stationary condition. By analyzing the pulse-signal waveform, the blade tip displacement and vibration velocity are extracted. Then, the motion equation under the non-stationary condition is further developed to provide a theoretical basis. Finally, the optimization technology is applied to extract vibration parameters. Compared with multiple-sensor methods, the proposed method has lower installation difficulty, less equipment cost, fewer sensors, and no strict sensor layout requirement. Numerical simulations and experiments are conducted to validate the effectiveness and robustness of the proposed method. The relative error in the natural frequency does not exceed 0.1 %. Additionally, errors in other parameters are less than 8 % in the experiment.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: ISA Trans / ISA Transactions Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: ISA Trans / ISA Transactions Ano de publicação: 2024 Tipo de documento: Article
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