Journal of Northeastern University(Natural Science) ›› 2025, Vol. 46 ›› Issue (3): 60-68.DOI: 10.12068/j.issn.1005-3026.2025.20230267

• Mechanical Engineering • Previous Articles     Next Articles

Fault Feature Extraction and Analysis of Rotating Blade Cracks

Hong GUAN1, Qian XIONG1, Hui MA1,2(), Wei-wei WANG1   

  1. 1.School of Mechanical Engineering & Automation,Northeastern University,Shenyang 110819,China
    2.Key Laboratory of Vibration and Control of Aero-Propulsion System,Ministry of Education,Northeastern University,Shenyang 110819,China.
  • Received:2023-09-13 Online:2025-03-15 Published:2025-05-29
  • Contact: Hui MA
  • About author:MA Hui E-mail: mahui_2007@163.com

Abstract:

To complete the fault characteristic extraction of blade cracks, a finite element model of a cracked blade incorporating breathing effect was first established based on the Mindlin-Reissner shell element. The dynamic response of the cracked blade under the combined action of centrifugal and aerodynamic loads was solved, providing excitation signal input for fault feature extraction. Then, fault indicators based on the nonlinear output frequency response function and energy indicators were established. Finally, the effectiveness of various indicators in extracting the fault characteristics of rotating blade cracks was analyzed. The results showed that the contribution rate indicator Fen) and weighted contribution rate indicator Rnn) are unstable and insensitive in diagnosing blade crack faults, whereas the energy indicator effectively extracts blade crack fault characteristics under both resonant and non-resonant state. These results provide engineering guidance for feature extraction, analysis, and indicator selection of rotating blade crack faults.

Key words: rotating blade, breathing crack, fault feature extraction, energy indicator, finite element method

CLC Number: