文献类型：期刊文献

英文题名：Dual-Parameter Diagnosis of Gas Turbine Blade Fatigue Cracks Based on Blade Tip Timing Data

作者：Wu, Shuming[1];Li, Haoqi[1];Lu, Liqin[1,2];You, Shangqin;Yang, Zhibo[1];Cao, Jiahui;Chen, Xuefeng[1];Yang, Danhui[3]

机构：[1]Xi An Jiao Tong Univ, Natl Key Lab Aerosp Power Syst & Plasma Technol, Xian 710000, Peoples R China;[2]CSSC Syst Engn Res Inst, Beijing 100094, Peoples R China;[3]East China Univ Sci & Technol, Shanghai 200237, Peoples R China

年份：2025

卷号：74

外文期刊名：IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

收录：;EI(收录号：20250817898798);WOS:【SCI-EXPANDED(收录号:WOS:001438223600005)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 52405129, Grant 52241502, and Grant 52222504; in part by the Young Elite Scientists Sponsorship Program of Xi'an under Grant 959202313068; in part by the Fundamental Research Funds for the Xi'an Jiaotong University under Grant xzy012023057; in part by Shaanxi Province Postdoctoral Science Foundation under Grant 2023BSHTBZZ12; and in part by the Natural Science Talents Foundation of Shaanxi Province under Grant 2021JC-04. The Associate Editor coordinating the review process was Dr. Yau Chung. (Corresponding authors: Danhui Yang; Haoqi Li.)

语种：英文

外文关键词：Blades; Damping; Frequency measurement; Resonant frequency; Timing; Resonance; Vibrations; Fatigue; Monitoring; Data mining; Blade fatigue crack; blade tip timing (BTT); damping ratio; natural frequency; parameter identification

摘要：Gas turbine rotor blade cracks are usually caused by high-cycle fatigue. The natural frequency and damping of the blades change as the cracks propagate. Most existing methods detect fatigue cracks by observing the decrease in natural frequency, which may lead to misjudgment. This article proposes a method for diagnosing blade fatigue cracks by combining the indicators of natural frequency decrease and damping ratio increase. Extracting these two parameters using blade tip timing (BTT) data faces challenges such as signal undersampling and errors in identifying the resonance location due to different sensor layouts. This article introduces a method for extracting natural frequency and damping using only two sensors under uniform acceleration (sweep frequency) excitation. For natural frequency extraction, an adaptive window length sparse representation method is proposed, which can adaptively select the spectral window parameters based on the sampled data and effectively reduce leakage by adding weighting factors. For damping extraction, a center-fixed half-power bandwidth method is proposed. This method improves the half-power bandwidth method by locating the resonance center based on the extracted natural frequency, avoiding interference from "dip" data caused by different sensor layouts. Finally, an accelerated fatigue experiment on a blisk verifies the accuracy of the extracted parameters and the sensitivity of the natural frequency and damping indicators to fatigue cracks.