[Oral Presentation]Sparse reconstruction for blade tip timing based on projective minimax concave penalty - International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence ((ICSMD2024))

Sparse reconstruction for blade tip timing based on projective minimax concave penalty

ID：71 Submission ID：116 View Protection：ATTENDEE Updated Time：2024-10-23 10:41:02 Hits：219 Oral Presentation

Start Time：2024-11-01 16:40 （Asia/Shanghai）

Duration：20min

Session：[P2] Parallel Session 2 » [P2-1] Parallel Session 2（November 1 PM）

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Abstract

Monitoring the vibration state of rotor blades is essential for ensuring the operational safety of turbomachinery. However, existing vibration measurement techniques are insufficient to fully meet the online monitoring requirements for rotor blades. Blade Tip Timing (BTT) is a promising technique for blade vibration monitoring, offering the ability to capture vibration data across the entire rotor blade stage without contact. However, due to the nature of BTT measurement, the resulting signals are often highly undersampled. To address this challenge, researchers have introduced sparse reconstruction methods for parameter identification in BTT signals, but the L1 regularization method frequently underestimates the amplitude of blade vibrations. In response, this paper proposes a new non-convex sparse regularization model designed to accurately recover blade vibration parameters from undersampled BTT signals. Simulated blade resonance signals were used to evaluate the model, with undersampled signals reconstructed using both L1 and PMC regularization terms. The results demonstrate that the proposed method not only accurately estimates blade vibration frequency and amplitude but also provides superior amplitude estimation accuracy compared to the L1 regularization method.

Keywords

Blade tip timing, Compressed sensing, Projective minimax concave, Signal reconstruction

Speaker

ZhouKai

Doc Xian Jiaotong University

Submission Author

ZhouKai Xian Jiaotong University

QiaoBaijie Xi'An Jiaotong University

WANGYANAN Xi'an Jiaotong University

FuYu Sichuan Gas Turbine Establishment Aero Engine Corporation of China

LiangJun Sichuan Gas Turbine Establishment Aero Engine Corporation of China

ChenXuefeng State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong University

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Important Dates

~~15th August~~ ~~2024~~ 31st August 2024- Manuscript Submission

15th September 2024 - Acceptance Notification

1st October 2024 - Camera Ready Submission

1st October 2024 – Early Bird Registration

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