| 薛志飞,易亮,牛广越,刘昊,程仲海,傅骁,段发阶.基于电容信号均方根的平均叶尖间隙测量方法[J].电子测量与仪器学报,2025,39(1):80-89 |
| 基于电容信号均方根的平均叶尖间隙测量方法 |
| Method for measuring average blade tip clearance based on root mean square |
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| DOI： |
| 中文关键词: 均方根 平均叶尖间隙 电容传感器 动态标定 机载试验 |
| 英文关键词:root mean square average blade tip clearance capacitive sensor dynamic calibration in-flight testing |
| 基金项目:国家自然科学基金项目(52205573, U2241265)、中国博士后科学基金项目(2022M720106)、天津大学科技创新领军人才培育“启明计划”项目(2024XQM-0012)、 精密测试技术及仪器全国重点实验室(天津大学)青年教师科研启动项目(Pilq2304)、国家科技重大专项(J2022-V-0005-0031)项目资助 |
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| Author | Institution |
| Xue Zhifei | AECC Commercial Aircraft Engine Co., Ltd, Shanghai 201306, China |
| Yi Liang | AECC Commercial Aircraft Engine Co., Ltd, Shanghai 201306, China |
| Niu Guangyue | State Key Laboratory of
Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China |
| Liu Hao | State Key Laboratory of
Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China |
| Cheng Zhonghai | State Key Laboratory of
Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China |
| Fu Xiao | State Key Laboratory of
Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China |
| Duan Fajie | State Key Laboratory of
Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China |
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| 中文摘要: |
| 叶尖间隙在线测量为航空发动机性能评估和故障诊断提供重要数据支撑，现有的航空发动机间隙测量技术多数针对单个叶片的间隙测量，并且尚无机载应用案例。针对当前电容式叶尖间隙测量方法存在的计算量大、数据冗余、高采样要求以及平均间隙求解难的问题，提出了基于电容传感信号均方根（RMS）的平均叶尖间隙测量方法。建立了基于RMS的叶尖间隙信号模型，推导了间隙信号RMS值与平均叶尖间隙之间的关系。仿真验证了噪声、时间参数对间隙信号RMS值的影响，提出了基于RMS方法的叶尖间隙信号处理参数。根据间隙信号占空比不变原则构建了叶片缩比模型，实现了适用于RMS处理方法的动态标定。在某型航空发动机压气机上开展了机载机载试验，验证了所提方法的可行性和有效性。实验结果表明，本方法以10 kHz采样率实现了航空发动机平均叶尖间隙测量，与传统方法测量结果相比，误差小于29 μm。 |
| 英文摘要: |
| Online measurement of blade tip clearance provides important data support for the performance evaluation and fault diagnosis of aero-engines. Most of the current clearance measurement technologies for aero-engines focus on measuring the clearance of individual blades, and no airborne application cases have been reported. This paper addresses the challenges associated with the capacitive blade tip clearance measurement method, such as high computational complexity, data redundancy, high sampling requirements, and difficulties in solving for the average clearance. A novel method for measuring average blade tip clearance based on the root mean square (RMS) of capacitive sensing signals is proposed. A blade tip clearance signal model based on RMS was developed, and the relationship between the RMS value of the clearance signal and the average blade tip clearance was derived. Simulations were performed to verify the impact of noise and time parameters on the RMS value of the clearance signal, and signal processing parameters for blade tip clearance based on the RMS method were introduced. A scaled blade model was constructed based on the constant duty cycle principle of the clearance signal, enabling dynamic calibration suitable for the RMS processing method. In-flight tests were conducted on the compressor of a specific aero-engine to validate the feasibility and effectiveness of the proposed method. Experimental results show that this method achieves average blade tip clearance measurement at a sampling rate of 10 kHz, with measurement errors less than 29 μm compared to traditional methods. |
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