Blade Tip Timing In-Loop Simulation System Framework: From Virtual to Reality

The measurement of blade tip timing (BTT) faces challenges such as the scarcity of real data, variability in data quality, and incomplete controllability of operating conditions, which complicate the validation of BTT signal processing methods. Therefore, it is essential to establish a high-fidelity BTT in-loop simulation system. This article proposes a highly decoupled framework for such a simulation system and presents a specific example: generating vibration signals through a developed analytical model of rotating blades, followed by BTT sampling, incorporation of uncertainty effects, and processing through a feedback loop to output the BTT sampling signal. Each component is validated using appropriate methods, demonstrating the usability of the proposed framework and the correctness of the specific example. This framework is expected to provide a reliable platform for validating BTT signal processing methods, conducting uncertainty analysis, and establishing blade fingerprint models.

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Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2025-01-01
DOI
https://doi.org/10.1109/tim.2025.3554904
Citations
2
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
2.43
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article

Blade Tip Timing In-Loop Simulation System Framework: From Virtual to Reality

Ruochen Jin, Huahui Hu, Laihao Yang, Yu Sun et al.
2 citations
IEEE Transactions on Instrumentation and Measurement
Iterative Learning Control Systems
2.43
article

Blade Tip Timing In-Loop Simulation System Framework: From Virtual to Reality

Ruochen Jin, Huahui Hu, Laihao Yang, Yu Sun, Shaohua Tian, Xuefeng Chen, Zhibo Yang
article en
2 citations

Abstract

The measurement of blade tip timing (BTT) faces challenges such as the scarcity of real data, variability in data quality, and incomplete controllability of operating conditions, which complicate the validation of BTT signal processing methods. Therefore, it is essential to establish a high-fidelity BTT in-loop simulation system. This article proposes a highly decoupled framework for such a simulation system and presents a specific example: generating vibration signals through a developed analytical model of rotating blades, followed by BTT sampling, incorporation of uncertainty effects, and processing through a feedback loop to output the BTT sampling signal. Each component is validated using appropriate methods, demonstrating the usability of the proposed framework and the correctness of the specific example. This framework is expected to provide a reliable platform for validating BTT signal processing methods, conducting uncertainty analysis, and establishing blade fingerprint models.

IEEE Transactions on Instrumentation and MeasurementVol. 74
Xi'an Jiaotong University (CN)
Openalex Percentile: Top 13%
Iterative Learning Control Systems
2.43
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