<span>Multi-time scale fractional order information fusion method for dynamic air gap sensors of hydropower unit</span>

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Journal of Vibration and Shock ›› 2025, Vol. 44 ›› Issue (3) : 202-209.

FAULT DIAGNOSIS ANALYSIS

Multi-time scale fractional order information fusion method for dynamic air gap sensors of hydropower unit

JING Xiuyan1, SUN Erjun2, TAN Zhifeng*3, HAO Guowen4, LI Yan5, SUN Wanquan6

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Abstract

Aiming at the complex signals such as strong noise，peak characteristics and non-Gaussian generated in the dynamic air gap monitoring of hydropower units, the fractional order theory is introduced into the dynamic information fusion processing of hydropower units. By analyzing the change characteristics and information correlation of dynamic air gap sensors at different positions of the stator and rotor, a multi-time scale fractional order information fusion method for dynamic air gap monitoring is proposed and established. Combined with the numerical simulation analysis of unit operation and vibration, the fractional information fusion processing under different time scales is carried out for the dynamic air gap sensor signals with different noise and fault signals, and the results are compared with those of traditional Kalman filter, which fully verifies the effectiveness and reliability of the proposed method. The research enriches the system theory of condition monitoring and fault diagnosis of hydropower units, and provides a new idea and method for the processing and analysis of complex signals.

Key words

hydro generator / air gap / fractional order / information fusion / multi-scale analysis

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JING Xiuyan1, SUN Erjun2, TAN Zhifeng3, HAO Guowen4, LI Yan5, SUN Wanquan6. Multi-time scale fractional order information fusion method for dynamic air gap sensors of hydropower unit[J]. Journal of Vibration and Shock, 2025, 44(3): 202-209

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