Damage Identification of Rotating Blades Based on Fuzzy C-Means and Frequency Response Function Curvature Methods

IF 1.1 4区 工程技术 Q3 ENGINEERING, AEROSPACE International Journal of Aerospace Engineering Pub Date : 2023-09-09 DOI:10.1155/2023/6011397
Ruize Cui, Zefeng Wang, Zhiguang Song
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Abstract

Rotor blades are one of the key components of helicopter. If the blades are damaged, the safety and reliability of the helicopter will be seriously affected. Therefore, it is necessary to investigate the damage identification of the rotating blades. In this paper, a rotating cantilever beam is used to model the rotor blade. Based on the assumed mode method and Hamilton’s principle, the equation of motion is formulated, and the correctness of the model is verified by numerical and experimental studies. Altogether, two methods are used to identify the damages on the blade. The first one is the cluster analysis method based on the fuzzy C-mean theory. In order to reduce the dimension of the signal features, the singular value decomposition is introduced. The second method is the curvature of frequency response function method that can be used to determine the exact position of damages. Simulation results show that one can use fuzzy C-mean method to determine whether there is damage on the blade firstly and then determine the exact position of the damage through the curvature of frequency response function method.
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基于模糊c均值和频响函数曲率法的旋转叶片损伤识别
旋翼叶片是直升机的关键部件之一。如果桨叶损坏,将严重影响直升机的安全性和可靠性。因此,有必要对旋转叶片的损伤识别进行研究。本文采用旋转悬臂梁对旋翼叶片进行建模。基于假设模态法和哈密顿原理,建立了运动方程,并通过数值和实验研究验证了模型的正确性。总共使用了两种方法来识别叶片上的损伤。第一种是基于模糊c均值理论的聚类分析方法。为了降低信号特征的维数,引入了奇异值分解。第二种方法是曲率频响函数法,可以用来确定损伤的确切位置。仿真结果表明,可以先用模糊c均值法确定叶片是否存在损伤,再通过曲率频响函数法确定损伤的确切位置。
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来源期刊
CiteScore
2.70
自引率
7.10%
发文量
195
审稿时长
22 weeks
期刊介绍: International Journal of Aerospace Engineering aims to serve the international aerospace engineering community through dissemination of scientific knowledge on practical engineering and design methodologies pertaining to aircraft and space vehicles. Original unpublished manuscripts are solicited on all areas of aerospace engineering including but not limited to: -Mechanics of materials and structures- Aerodynamics and fluid mechanics- Dynamics and control- Aeroacoustics- Aeroelasticity- Propulsion and combustion- Avionics and systems- Flight simulation and mechanics- Unmanned air vehicles (UAVs). Review articles on any of the above topics are also welcome.
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