Time-frequency reassignment of blade tip timing signal

IF 7.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Mechanical Systems and Signal Processing Pub Date : 2024-11-22 DOI:10.1016/j.ymssp.2024.112163
Jinghui Xu, Baijie Qiao, Meiru Liu, Yanan Wang, Jiangbo Dai, Yi Fan, Xuefeng Chen
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Abstract

The health condition of a rotor blade can be assessed by its dynamic frequency with respect the rotational speed, which can be derived from the time–frequency analysis of the blade vibration signal. Blade tip timing (BTT), as a non-contact measurement technique, provides an alternative to traditional contact strain measurement methods. However, the vibration signal measured by BTT is usually undersampled, which limits the application of conventional time–frequency analysis methods. BTT sparse time–frequency methods utilize the sparsity to reconstruct undersampled BTT signals. Nevertheless, BTT sparse time–frequency representation suffers from poor concentration and inaccurate estimation of the dynamic frequency, especially in the case of fast varying speed and limited BTT sensors. In this paper, a BTT time–frequency reassignment method is proposed to enhance the concentration of the BTT time–frequency spectrum and improve the accuracy of dynamic frequency estimation. Firstly, BTT time–frequency reassignment utilizes the blade natural frequency, obtained from the Campbell diagram, as prior information. The blade dynamic frequency with respect to the rotational speed is estimated by combining the prior frequency with the measured frequency in the Bayesian framework. Subsequently, weights are assigned to both the time–frequency coefficients and the posterior frequency. The time–frequency coefficients are relocated around the posterior frequency according to the weights. The advantages of BTT time–frequency reassignment are demonstrated through a simulation, a laboratory test and a full-scale aeroengine test. Both simulation and experimental results demonstrate that BTT time–frequency reassignment enhances the concentration of the BTT time–frequency spectrum and improves the accuracy of the estimated dynamic frequency when limited BTT sensors are available. The influence of the prior frequency is discussed to evaluate the robustness of BTT time–frequency reassignment. In the full-scale aeroengine test, the reliability of BTT time–frequency reassignment is verified under the fast varying speed.
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刀尖定时信号的时频重新分配
转子叶片的健康状况可通过其相对于转速的动态频率来评估,而动态频率可从叶片振动信号的时频分析中得出。叶尖定时(BTT)作为一种非接触式测量技术,可替代传统的接触式应变测量方法。然而,BTT 测量的振动信号通常采样不足,这限制了传统时频分析方法的应用。BTT 稀疏时频方法利用稀疏性来重建采样不足的 BTT 信号。然而,BTT 稀疏时频表示法存在集中度差和动态频率估计不准确的问题,特别是在速度变化快和 BTT 传感器有限的情况下。本文提出了一种 BTT 时频重配方法,以增强 BTT 时频谱的集中度,提高动态频率估计的准确性。首先,BTT 时频重配利用从坎贝尔图中获得的叶片固有频率作为先验信息。通过在贝叶斯框架中将先验频率与测量频率相结合,估算出叶片相对于转速的动态频率。随后,为时频系数和后验频率分配权重。根据权重,时频系数围绕后验频率重新定位。通过模拟、实验室测试和全尺寸航空发动机测试,证明了 BTT 时频重新分配的优势。模拟和实验结果表明,在 BTT 传感器有限的情况下,BTT 时频重配增强了 BTT 时频谱的集中度,并提高了估计动态频率的准确性。讨论了先验频率的影响,以评估 BTT 时频重新分配的稳健性。在全尺寸航空发动机测试中,验证了 BTT 时频重配在快速变速情况下的可靠性。
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来源期刊
Mechanical Systems and Signal Processing
Mechanical Systems and Signal Processing 工程技术-工程:机械
CiteScore
14.80
自引率
13.10%
发文量
1183
审稿时长
5.4 months
期刊介绍: Journal Name: Mechanical Systems and Signal Processing (MSSP) Interdisciplinary Focus: Mechanical, Aerospace, and Civil Engineering Purpose:Reporting scientific advancements of the highest quality Arising from new techniques in sensing, instrumentation, signal processing, modelling, and control of dynamic systems
期刊最新文献
Generative adversarial network-based ultrasonic full waveform inversion for high-density polyethylene structures A relaxor ferroelectric crystal based Two-DOF miniature piezoelectric motor with fish body structure Cutting force reconstruction method based on static bandwidth expansion utilizing acceleration sensors Time-frequency reassignment of blade tip timing signal High-fidelity analysis and experiments of a wireless sensor node with a built-in supercapacitor powered by piezoelectric vibration energy harvesting
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