Forward-backward spatial smoothing for snapshot matrix construction of blade tip timing signal

Zengkun WANG; Zhibo YANG; Xuefeng CHEN

doi:10.51393/j.jamst.2023021

Volume 4 Issue 1

Oct. 2023

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Zengkun WANG, Zhibo YANG, Xuefeng CHEN. Forward-backward spatial smoothing for snapshot matrix construction of blade tip timing signal[J]. Journal of Advanced Manufacturing Science and Technology , 2024, 4(1): 2023021. doi: 10.51393/j.jamst.2023021

Citation:

Zengkun WANG, Zhibo YANG, Xuefeng CHEN. Forward-backward spatial smoothing for snapshot matrix construction of blade tip timing signal[J]. Journal of Advanced Manufacturing Science and Technology , 2024, 4(1): 2023021. doi: 10.51393/j.jamst.2023021

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Forward-backward spatial smoothing for snapshot matrix construction of blade tip timing signal

doi: 10.51393/j.jamst.2023021

Zengkun WANG^a,b,
Zhibo YANG^{a,b
,
,},
Xuefeng CHEN^a,b

a National Key Lab of Aerospace Power System and Plasma Technology, Xi'an Jiaotong University, Xi'an 710049, China;
b School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China

Funds:

This work was supported by the National Natural Science Foundation of China (Nos. 52241502, 52222504), the Natural Science Talents Foundation of Shaanxi Province (No. 2021JC-04).

Received Date: 2023-09-11
Accepted Date: 2023-11-21
Rev Recd Date: 2023-10-14

Available Online: 2023-11-28

Publish Date: 2023-11-28

Abstract

Abstract

Blade tip timing (BTT) is a non-contact measurement method for rotor blades. Its non-uniform sampling pattern is determined by the physical probe placement and rotational speed. Due to the lack of sampling probes and uneven placement, the anti-aliasing spectrum analysis for non-uniformly sampled signals becomes a hotspot in the BTT field. In this paper, a forward backward spatial smoothing (FBSS) method is used to estimate the autocorrelation matrix more accurately, which enables a better frequency identification ability for the autocorrelation matrix-based methods. Additionally, the relationship between the exponential complex steering vector and real-valued steering vectors is revealed. The peak significance is proposed to measure the quality of the pseudo spectrum. By taking multiple signal classification and minimum variance distortionless response as two example methods, the superiority of FBSS is demonstrated by simulations and experiments.
- Blade tip timing,
- Spatial smoothing,
- Autocorrelation matrix,
- Spectrum analysis,
- Non-uniform sampling

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References(20)

References

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