Error revising of blade tip-timing parameter identification caused by frequency sweep rate

Zhi, Fengyao; Duan, Fajie; Li, Meiru; Niu, Guangyue; Jiao, Jiangkun; Deng, Zhenyu; Jiang, Jiajia; Fu, Xiao

doi:10.1016/j.measurement.2022.111681

Cited by 7 publications

(2 citation statements)

References 28 publications

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“…High-speed rotating blades are the core components of largescale turbomachinery such as flue gas turbines and aeroengines. Because of long-term operation under extreme load conditions, fatigue failure is likely to occur [1][2][3] and develop into a fracture accident, resulting in catastrophic consequences [4]. Therefore, monitoring and determining the operating state of the rotating blade and taking timely, effective action before the blade fails will serve to ensure the safe operation of the equipment.…”

Section: Introductionmentioning

confidence: 99%

Parameter identification method of nonuniform and under-sampled blade tip timing based on extended DFT and compressed sensing

Zhang,

Ding

et al. 2023

Meas. Sci. Technol.

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Vibration amplitude and frequency are the two most important indicators that characterize the health status of high-speed rotating blades, but the signal obtained by blade tip timing (BTT) technology, one of the best rotating blade vibration monitoring methods, is seriously nonuniform and under-sampled, which makes these two indicators difficult to identify. In view of this problem, the paper proposes a parameter identification method for the nonuniform and under-sampled BTT signal based on extended Discrete Fourier transform (EDFT) and Compressed Sensing (CS), with the Fourier integral transformation as the goal. It realizes the frequency analysis of nonuniform under-sampled signals by constructing and optimizing the transformation basis function instead of the exponential basis in the traditional FFT transformation in the extended frequency range, and then constructs a CS model through the obtained blade vibration frequency. The complete waveform of the blade vibration is restored by using a small number of under-sampled signals, thus obtaining the blade vibration amplitude and vibration frequency. On the one hand, the method proposed in this paper breaks through the limitation of Nyquist's sampling theorem, and the number of analytical spectral lines is no longer limited to the number of sampling points, which improves the frequency resolution. On the other hand, only a small number of measurement signals can be reconstructed to achieve a complete vibration signal. The feasibility and reliability of the proposed method are verified by mathematical modeling, simulation analysis, and experimental testing. The results indicate that when the number of sensors is greater than or equal to four, the time domain and frequency domain signals of blade vibration can be accurately analyzed based on the proposed method, the vibration amplitude error is less than 0.01 mm, the frequency error is less than 0.1 Hz, and it has good anti-interference performance.

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Section: Introductionmentioning

confidence: 99%

Parameter identification method of nonuniform and under-sampled blade tip timing based on extended DFT and compressed sensing

Zhang,

Ding

et al. 2023

Meas. Sci. Technol.

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“…Regarding academic turbine blade measurements, commonly, the blade steady-state behaviour is considered (see [2]), but recently, transient measurements have also started to take a prominent part in fundamental research. Several current publications deal with transient measurements of bladed disks either by means of tip timing, strain gauges, both measurement systems or acceleration sensors (see [3][4][5][6]). However, the effect of friction damping on the blade dynamics during a transient resonance passage has rarely been studied experimentally in this context.…”

Section: Introductionmentioning

confidence: 99%

Transient Resonance Passage of a Mistuned Bladed Disk with and without Underplatform Dampers

Brinkmann,

Hoffmann,

Panning-von Scheidt

et al. 2023

IJTPP

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In this work, the vibration response of an academic free-standing turbine blisk is analyzed in regard to transient resonance passages. Measurement data are recorded using strain gauges and tip timing to evaluate the blades first bending mode both linearly and with two different types of underplatform dampers. These results are validated against steady-state responses and show good agreement with each other. To examine the effects of a transient resonance passage, response functions of each blade are evaluated both with and without the underplatform dampers. It is shown that friction damping is able to inhibit any appearance of a transient ring-down. Additionally, a multi-mass oscillator model with frictional contacts is analyzed, which qualitatively exhibits the same dynamics as the measurements. Due to geometric mistuning, all blades exhibit different vibration responses. This can lead to a transient amplitude amplification, which is observed on several blades. Analogously, this phenomenon can be mitigated by friction damping.

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Single-sensor rotating blade monitoring method under non-stationary conditions based on velocity and displacement

Bian,

Yang,

Guan

et al. 2024

ISA Transactions

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Error revising of blade tip-timing parameter identification caused by frequency sweep rate

Cited by 7 publications

References 28 publications

Parameter identification method of nonuniform and under-sampled blade tip timing based on extended DFT and compressed sensing

Parameter identification method of nonuniform and under-sampled blade tip timing based on extended DFT and compressed sensing

Transient Resonance Passage of a Mistuned Bladed Disk with and without Underplatform Dampers

Single-sensor rotating blade monitoring method under non-stationary conditions based on velocity and displacement

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