叶端定时中多重信号分类法的滤波特性研究

王增坤; 杨志勃; 李浩琪; 曹佳辉; 杨来浩; 田绍华; 李明; 陈雪峰

doi:10.7652/xjtuxb202202020

您当前的位置：

首页 >

文章列表页 >

叶端定时中多重信号分类法的滤波特性研究

更新时间：2025-05-08

- 叶端定时中多重信号分类法的滤波特性研究
- Investigation for Filtering Ability of Multiple Signal Classification in Blade Tip Timing
- 西安交通大学学报 2022年56卷第2期页码：191-197
- 作者机构：
  
  1. 西安交通大学机械制造系统工程国家重点实验室,西安,710049
  2. 西安交通大学机械工程学院,西安,710049
- 作者简介：
- 基金信息：
  
  : 2021-04-08。作者简介: 王增坤(1996—),男,博士生;杨志勃(通信作者),男,教授,博士生导师。基金项目: 国家重点研发计划资助项目(2020YFB2010800);国家自然科学基金资助项目(51875433);中央高校基本科研业务费资助项目(xzy022021015)
- DOI：10.7652/xjtuxb202202020
  中图分类号： TN911.72
- 网络首发：2022-02-10，
  
  纸质出版：2022
- 稿件说明：
移动端阅览
王增坤, 杨志勃, 李浩琪, 等. 叶端定时中多重信号分类法的滤波特性研究[J]. 西安交通大学学报, 2022,56(2):191-197.

Investigation for Filtering Ability of Multiple Signal Classification in Blade Tip Timing[J]. 2022, 56(2): 191-197.
王增坤, 杨志勃, 李浩琪, 等. 叶端定时中多重信号分类法的滤波特性研究[J]. 西安交通大学学报, 2022,56(2):191-197. DOI： 10.7652/xjtuxb202202020.

Investigation for Filtering Ability of Multiple Signal Classification in Blade Tip Timing[J]. 2022, 56(2): 191-197. DOI： 10.7652/xjtuxb202202020.

摘要

为了揭示多重信号分类法(MUSIC)具有滤除同步频率分量特性的数学机理

基于MUSIC方法中的信号子空间生成过程与主成分分析方法中的主成分生成过程的一致性

对MUSIC滤波特性进行了研究。以正弦信号假设下单频率分量的情况为例

证明了异步频率分量与同步频率分量的信号子空间分别可以用二维直角坐标系和一维坐标轴可视化表示。通过分析导向矢量在信号子空间坐标系中的位置得出

人为设置相位的导向矢量位于同步频率分量的信号子空间之外

从而导致了滤波现象的发生。仿真和实验结果表明:同步频率分量和异步频率分量同时存在于叶片振动信号的非共振区; MUSIC方法能够克服频率混叠且具有滤除同步频率分量的滤波特性; 该滤波特性能够被导向矢量与子空间坐标系的相对关系解释。

Abstract

To reveal the reason why multiple signal classification(MUSIC)can filter out the synchronous frequency components the consistency between signal subspace of MUSIC and principal component of principal component analysis is theoretically investigated. One sinusoidal frequency component case is discussed to verify that the signal subspace of asynchronous frequency component and synchronous frequency component can be visually represented by a 2D cartesian coordinate and an axis respectively. Analyzing the position of the steering vector in the signal subspace

it is concluded that the artificial steering vector is outside the signal subspace of the synchronous frequency component

which leads to the filtering ability. The simulation and experiment results show that:synchronous frequency components and asynchronous frequency components coexist in the non-resonance region of blade vibration signal; MUSIC can eliminate aliasing andfilter out the synchronous frequency components; the filtering ability can be explained by the relationship between the steering vector and the subspace coordinate.

关键词

Keywords

references

寇海军, 张俊红, 林杰威. 航空发动机风扇叶片振动特性分析 [J]. 西安交通大学学报, 2014, 48(11): 109-114.

KOU Haijun, ZHANG Junhong, LIN Jiewei. Aero-engine fan blade vibration characteristic analysis [J]. Journal of Xi'an Jiaotong University, 2014, 48(11): 109-114.

ABDELRHMAN A M, HEE L M, LEONG M S, et al. Condition monitoring of blade in turbomachinery: a review [J]. Advances in Mechanical Engineering, 2014, 6: 210717.

FORBES G L, RANDALL R B. Estimation of turbine blade natural frequencies from casing pressure and vibration measurements [J]. Mechanical Systems and Signal Processing, 2013, 36(2): 549-561.

王维民, 陈子文, 张旭龙, 等. 基于叶端定时的转子碰摩故障诊断方法 [J/OL]. 航空学报, 2021 [2021-02-19]. http: ∥kns.cnki.net/kcms/detail/11.1929. v.20210225.1634.032.html.

WANG Weimin, CHEN Ziwen, ZHANG Xulong, et al. Fault diagnosis method of rotor rubbing impact based on blade tip timing [J/OL]. Acta Aeronautica et Astronautica Sinica, 2021 [2021-02-19]. http: ∥kns. cnki.net/kcms/detail/11.1929.v.20210225.1634.03 2.html.

KHARYTON V, DIMITRIADIS G, DEFISE C. A discussion on the advancement of blade tip timing data processing [C]∥ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. New York, NY, USA: ASME, 2017: V07BT35A002.

CHEN Zhongsheng, SHENG Hao, XIA Yemei, et al. A comprehensive review on blade tip timing-based health monitoring: status and future [J]. Mechanical Systems and Signal Processing, 2021, 149: 107330.

CHEN S S, DONOHO D L, SAUNDERS M A. Atomic decomposition by basis pursuit [J]. SIAM Review, 2001, 43(1): 129-159.

PAN Minghao, YANG Yongmin, GUAN Fengjiao, et al. Sparse representation based frequency detection and uncertainty reduction in blade tip timing measurement for multi-mode blade vibration monitoring [J]. Sensors, 2017, 17(8): 1745.

吴淑明, 胡海峰, 赵志斌, 等. 增强稀疏分解及其在叶片振动参数识别中的应用 [J]. 机械工程学报, 2019, 55(19): 19-27.

WU Shuming, HU Haifeng, ZHAO Zhibin, et al. Enhancing sparse decomposition based blade vibration parameter identification [J]. Journal of Mechanical Engineering, 2019, 55(19): 19-27.

BOUCHAIN A, PICHERAL J, LAHALLE E, et al. Blade vibration study by spectral analysis of tip-timing signals with OMP algorithm [J]. Mechanical Systems and Signal Processing, 2019, 130: 108-121.

WU Shuming, RUSSHARD P, YAN Ruqiang, et al. An adaptive online blade health monitoring method: from raw data to parameters identification [J]. IEEE Transactions on Instrumentation and Measurement, 2020, 69(5): 2581-2592.

LIU Zhibo, DUAN Fajie, NIU Guangyue, et al. An improved circumferential fourier fit(CFF)method for blade tip timing measurements [J]. Applied Sciences, 2020, 10(11): 3675.

王文杰, 李小平. 鲁棒的闭式中国余数定理及其在欠采样频率估计中的应用 [J]. 信号处理, 2013, 29(9): 1206-1211.

WANG Wenjie, LI Xiaoping. The closed-form robust Chinese remainder theorem and its application in frequency estimation with undersampling [J]. Journal of Signal Processing, 2013, 29(9): 1206-1211.

WANG Zengkun, YANG Zhibo, WU Shuming, et al. An improved multiple signal classification for nonuniform sampling in blade tip timing [J]. IEEE Transactions on Instrumentation and Measurement, 2020, 69(10): 7941-7952.

GARCÍA I, BELOKI J, ZUBIA J, et al. An optical fiber bundle sensor for tip clearance and tip timing measurements in a turbine rig [J]. Sensors, 2013, 13(6): 7385-7398.

李致铭, 兰哲冲, 金楷越, 等. 寄生电容自适应抑制的飞法级电容传感器读出电路 [J]. 西安交通大学学报, 2021, 55(5): 154-161.

LI Zhiming, LAN Zhechong, JIN Kaiyue, et al. A readout circuit for femtofarad-level capacitive sensors with parasitic capacitance suppression [J]. Journal of Xi'an Jiaotong University, 2021, 55(5): 154-161.

JAMIA N, FRISWELL M I, EL-BORGI S, et al. Modelling and experimental validation of active and passive eddy current sensors for blade tip timing [J]. Sensors and Actuators: A Physical, 2019, 285: 98-110.

ZHANG Jilong, DUAN Fajie, NIU Guangyue, et al. A blade tip timing method based on a microwave sensor [J]. Sensors, 2017, 17(5): 1097.

宋昱, 孙文赟, 陈昌盛. 对数变换主成分分析的图像识别 [J]. 西安交通大学学报, 2021, 55(1): 33-42.

SONG Yu, SUN Wenyun, CHEN Changsheng. Logarithm transformation based principal component analysis for image recognition [J]. Journal of Xi'an Jiaotong University, 2021, 55(1): 33-42.

WANG Zengkun, YANG Zhibo, WU Shuming, et al. An OPR-free blade tip timing method for rotating blade condition monitoring [J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-11.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

高稳快速非线性-线性跟踪微分器设计

分数阶域滤波在启停车过程转频振动分量提取中的应用

不同板叠材料热声热机能量转换过程数值模拟研究

扇贝仿生密封腔室内超临界二氧化碳泄漏流湍动能耗散机理研究

结构-语义-残差协同的图像压缩框架：面向隐私保护与高保真重建