ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Characterization and identification of gas turbine blade fracture faults based on broadband vibration
Received date: 2024-01-03
Revised date: 2024-01-30
Accepted date: 2024-03-18
Online published: 2024-03-19
Supported by
the Key Program of National Natural Science Foundation of China(92160203);Young Elite Scientists Sponsorship Program by CAST(2022-JCJQ-QT-059);National Postdoctoral Program for Innovation Talents Support Program(BX20180031)
Aiming at the technical difficulty of timely and effective warning and identification of gas turbine rotor blade fracture faults， this paper conducts a three-pronged research. Starting from the blade fracture fault mechanism， we analyse the modulation effect of the unbalanced rotor on the wake pressure， establish the blade excitation force model and the forced vibration response model of the casing under the action of the excitation force， and solve the wide-frequency vibration response of the dynamic blade fracture excitation. On this basis， a blade fracture fault sensitive characteristic is constructed， and a fault alarm model based on the Optimized K-Nearest Neighbor （O-KNN） is proposed to realize the timely alarm analysis of the blade fracture fault. Furthermore， the blade fracture fault localization parameters are proposed， and the accurate localization of the fracture fault is realized by comparing the blade characteristic parameters at all stages. In summary， a broadband vibration characteristic driven gas turbine blade fracture fault identification method is constructed， and a test case on a certain type of gas turbine verifies the effectiveness of the fault sensitive characteristics and the identification method.
Minghui HU , Shaopeng LIU , Hao WANG , Chenyang LI , Weimin WANG , Zhinong JIANG . Characterization and identification of gas turbine blade fracture faults based on broadband vibration[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2024 , 45(20) : 230098 -230098 . DOI: 10.7527/S1000-6893.2024.30098
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