Time delay-based spectrum reconstruction for nonuniform and sub-Nyquist sampling in blade tip timing-Reference-Cited by-同舟云学术

Time delay-based spectrum reconstruction for nonuniform and sub-Nyquist sampling in blade tip timing

Published:2023-10 Issue: Volume:200 Page:110552
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Cao Jiahui^ORCID,Yang Zhibo^ORCID,Tian Shaohua^ORCID,Chen Xuefeng^ORCID

Funder

Natural Science Foundation of Shaanxi Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference47 articles.

1. Optimization of nonuniform sensor placement for blade tip timing based on equiangular tight frame theory;Zhang;J. Eng. Gas Turbines Power,2021

2. An improved blade tip-timing method for vibration measurement of rotating blades during transient operating conditions;Fan;J. Vib. Eng. Technol.,2020

3. Improved blade tip timing measurements during transient conditions using a state space model;Diamond;Mech. Syst. Signal Process.,2019

4. Rotating blade frequency identification by single-probe blade tip timing;Cao;Mech. Syst. Signal Process.,2022

5. Experimental validation of FEM-computed stress to tip deflection ratios of aero-engine compressor blade vibration modes and quantification of associated uncertainties;Mohamed;Mech. Syst. Signal Process.,2022

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1. Compressed covariance sensing for blade tip timing measurement;Journal of Sound and Vibration;2024-06

2. Super-Resolution Power Spectrum Estimation for Blade Tip Timing Measurement;2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2024-05-20

3. Simultaneous Measurement for Blade Tip Clearance and Vibration Based on Capacitive Probe;2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD);2023-11-02