基于速度和位移的非稳态条件下单传感器旋转叶片监测方法。

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS ISA transactions Pub Date : 2024-06-22 DOI:10.1016/j.isatra.2024.06.017
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引用次数: 0

摘要

本文提出了一种用于监测旋转叶片振动的新型单传感器方法,并利用该方法确定了非稳态条件下的振动参数。通过分析脉冲信号波形,提取了叶尖位移和振动速度。然后,进一步建立了非稳态条件下的运动方程,为其提供了理论依据。最后,应用优化技术提取振动参数。与多传感器方法相比,所提出的方法具有安装难度低、设备成本低、传感器数量少、无严格的传感器布局要求等优点。通过数值模拟和实验验证了所提方法的有效性和鲁棒性。固有频率的相对误差不超过 0.1%。此外,实验中其他参数的误差也小于 8%。
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Single-sensor rotating blade monitoring method under non-stationary conditions based on velocity and displacement

A novel single-sensor method for monitoring rotating blade vibration is proposed and utilized to identify vibration parameters under the non-stationary condition. By analyzing the pulse-signal waveform, the blade tip displacement and vibration velocity are extracted. Then, the motion equation under the non-stationary condition is further developed to provide a theoretical basis. Finally, the optimization technology is applied to extract vibration parameters. Compared with multiple-sensor methods, the proposed method has lower installation difficulty, less equipment cost, fewer sensors, and no strict sensor layout requirement. Numerical simulations and experiments are conducted to validate the effectiveness and robustness of the proposed method. The relative error in the natural frequency does not exceed 0.1 %. Additionally, errors in other parameters are less than 8 % in the experiment.

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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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