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OPR-free single probe blade tip timing for monitoring rotating blade

International Journal of Mechanical Sciences, 2023
Jiahui Cao, Zhibo Yang, Ruo-Bin Sun
exaly   +2 more sources

An OPR-Free Blade Tip Timing Method for Rotating Blade Condition Monitoring

IEEE Transactions on Instrumentation and Measurement, 2021
Blade tip timing (BTT) is a noncontact blade vibration measurement method for rotating blade condition monitoring. However, it is difficult to install a once-per-revolution (OPR) probe due to the internal environment limitation of an engine. To solve this problem, an OPR-free BTT method is proposed in this article.
Zengkun Wang   +7 more
openaire   +1 more source

An OPR-free Blade Tip Timing Method Based on Blade Spacing Change

2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2020
Compressor blades often operate in high temper-ature, high pressure, and heavy load environments. They are in direct contact with the outside air, which causes their life to be severely limited. Blade vibration is an important factor that reflecting the state of the blade. Therefore, effective blade vibration monitoring methods are needed.
Zengkun Wang   +7 more
openaire   +1 more source

Blade tip timing and strain gauge correlation on compressor blades

Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2008
Traditionally, rotor blade vibration response measurements have been made using strain gauges. Rolls-Royce has a long experience of using strain gauge measurements to certify blades. In recent years, however, much effort has been invested in developing blade tip timing (BTT).
D Knappett, J Garcia
openaire   +1 more source

Blade Fissure Determination by Means of Blade Tip-Timing System

Volume 7A: Structures and Dynamics, 2018
Since the turbomachinery came into existence there is control issue of rotor blade stress condition and blade health monitoring both aero engines in service and in process of impeller machines refinement. This issue relevance is to rotor blade failure lead to serious damage of compressor and aero engines in whole.
Victor Mileshin   +2 more
openaire   +1 more source

Synchronous Blade Vibration Analysis Using Blade Tip Timing Method

2021
In this study, the analysis method of synchronous vibration in turbine blades is developed. Blade tip timing (BTT) data measured by non-contact sensors is analyzed by the proposed method. The time of arrivals (TOA) of each blade when it passes the sensors are converted to the blade tip displacements in real time.
Y. Oh, H. H. Yoo, Y. Kim
openaire   +1 more source

Pre-Emptive Rotor Blade Damage Identification by Blade Tip Timing Method

ASME 2013 Gas Turbine India Conference, 2013
The Blade Tip Timing (BTT) method uses the differential arrival timings of the blades at case-mounted sensors to effectively characterize the vibrations of all blades in a rotor. This paper studies the use of the BTT method for preemptive prediction of rotor blade damage; through a careful monitoring of blade natural frequencies in conjunction with the
Siddhartha S. Guru   +3 more
openaire   +1 more source

Blade vibration study by spectral analysis of tip-timing signals with OMP algorithm

open access: yesMechanical Systems and Signal Processing, 2019
International audienceBlades vibrations must be measured in operations to validate blade design. Tip-timing is one of the classical measurement methods but its main drawback is the generation of sub-sampled and non-uniform sampled signals.
JOSÉ Picheral, Gilles Chardon
exaly   +2 more sources

Blade tip timing (BTT) uncertainties

AIP Conference Proceedings, 2016
Blade 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.
openaire   +1 more source

Blade tip timing for multi-mode identification based on the blade vibration velocity

Mechanical Systems and Signal Processing
Baijie Qiao, Xuefeng Chen
exaly   +2 more sources

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