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Experimental Investigation of the Blade Tip Timing (BTT) Uncertainties [PDF]
The uncertainties of blade tip displacement measurement using BTT are investigated through experiments. A novel test bench is established where the blade deformation can be measured simultaneously by laser displacement sensors and BTT, which enables the determination of the BTT measurement error.
Xiao, Zhicheng +2 more
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Mechanical Systems and Signal Processing, 2021
Abstract Identifying the mistuning parameters and calibrating the finite element model (FEM) of the mistuned blisk in real-time is a meaningful way to acquire the blisk’s dynamic characteristics and predict its stress response. Because of the wearing and other reasons, the blisk’s mistuning is changing during the operation. Hence a BTT based rotating-
Dongfang Hu +3 more
openaire +1 more source
Abstract Identifying the mistuning parameters and calibrating the finite element model (FEM) of the mistuned blisk in real-time is a meaningful way to acquire the blisk’s dynamic characteristics and predict its stress response. Because of the wearing and other reasons, the blisk’s mistuning is changing during the operation. Hence a BTT based rotating-
Dongfang Hu +3 more
openaire +1 more source
Blade tip timing (BTT) uncertainties
AIP Conference Proceedings, 2016Blade Tip Timing (BTT) is an alternative technique for characterising blade vibration in which non-contact timing probes (e.g. capacitance or optical probes), typically mounted on the engine casing (figure 1), and are used to measure the time at which a blade passes each probe.
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Rotating blade frequency identification by single-probe blade tip timing
Mechanical Systems and Signal Processing, 2022Xuefeng Chen, Zhibo Yang
exaly
Robust sparse representation model for blade tip timing
Journal of Sound and Vibration, 2021Xuefeng Chen +2 more
exaly
Blind interpolation for multi-frequency blade tip timing signals
Mechanical Systems and Signal Processing, 2022Guoji Shen, Yongmin Yang, Suiyu Chen
exaly
A comprehensive review on blade tip timing-based health monitoring: status and future
Mechanical Systems and Signal Processing, 2021Zhongsheng Chen, Jing He, Weimin Wang
exaly

