A two-level fusion model of vibro-acoustic signals for centrifugal fan blade crack detection

被引:0
|
作者
Ma, Tianchi [1 ]
Shen, Junxian [1 ]
Song, Di [1 ]
Xu, Feiyun [1 ]
机构
[1] Southeast Univ, Sch Mech Engn, 2 Southeast Univ Rd, Nanjing 211189, Jiangsu, Peoples R China
来源
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL | 2024年 / 23卷 / 06期
基金
中国国家自然科学基金;
关键词
Vibro-acoustic signals; two-level fusion model; correlated degree of cyclostationarity; basic probability assignment acquisition; Pignistic probability distance; Dempster-Shafer evidence theory; COMBINING BELIEF FUNCTIONS; COMBINATION; CONFLICT;
D O I
10.1177/14759217241229213
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Blade crack detection is the key to ensuring the smooth and safe operation of centrifugal fans. However, a single vibration signal is difficult to fully reflect the health state of the blade and is susceptible to noise interference in the industrial field, which makes it difficult to detect blade cracks. Therefore, a two-level fusion model of vibro-acoustic signals is proposed for blade crack detection of centrifugal fans. Firstly, based on the designed correlated degree of cyclostationarity fusion rule, the data-level fusion of multi-source homogeneous vibro-acoustic signals is completed, and the fused signals with more obvious fault features are obtained. Then, a one-dimensional feature pyramid network is proposed to extract the vibro-acoustic features and generate initial decisions. Finally, a basic probability assignment acquisition method based on the precision of the initial classifiers and a weighted average method based on the Pignistic probability distance are proposed to minimize the conflict between multi-source evidence, and the Dempster-Shafer evidence theory method is used to obtain the blade crack detection results. The effectiveness of the proposed method is verified by the centrifugal fan blade crack detection experiments. Compared with other related methods, the proposed method has better detection performance and stronger robustness.
引用
收藏
页码:3800 / 3813
页数:14
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