Damage Identification of Rotating Blades Based on Fuzzy C-Means and Frequency Response Function Curvature Methods
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...
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2023/6011397 |
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| _version_ | 1832546578268684288 |
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| author | Ruize Cui Zefeng Wang Zhiguang Song |
| author_facet | Ruize Cui Zefeng Wang Zhiguang Song |
| author_sort | Ruize Cui |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-0f4230a8f5a5459bbbcf7ad81a310041 |
| institution | Kabale University |
| issn | 1687-5974 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-0f4230a8f5a5459bbbcf7ad81a3100412025-02-03T06:47:44ZengWileyInternational Journal of Aerospace Engineering1687-59742023-01-01202310.1155/2023/6011397Damage Identification of Rotating Blades Based on Fuzzy C-Means and Frequency Response Function Curvature MethodsRuize Cui0Zefeng Wang1Zhiguang Song2College of Aerospace and Civil EngineeringChinese Flight Test EstablishmentCollege of Aerospace and Civil EngineeringRotor 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.http://dx.doi.org/10.1155/2023/6011397 |
| spellingShingle | Ruize Cui Zefeng Wang Zhiguang Song Damage Identification of Rotating Blades Based on Fuzzy C-Means and Frequency Response Function Curvature Methods International Journal of Aerospace Engineering |
| title | Damage Identification of Rotating Blades Based on Fuzzy C-Means and Frequency Response Function Curvature Methods |
| title_full | Damage Identification of Rotating Blades Based on Fuzzy C-Means and Frequency Response Function Curvature Methods |
| title_fullStr | Damage Identification of Rotating Blades Based on Fuzzy C-Means and Frequency Response Function Curvature Methods |
| title_full_unstemmed | Damage Identification of Rotating Blades Based on Fuzzy C-Means and Frequency Response Function Curvature Methods |
| title_short | Damage Identification of Rotating Blades Based on Fuzzy C-Means and Frequency Response Function Curvature Methods |
| title_sort | damage identification of rotating blades based on fuzzy c means and frequency response function curvature methods |
| url | http://dx.doi.org/10.1155/2023/6011397 |
| work_keys_str_mv | AT ruizecui damageidentificationofrotatingbladesbasedonfuzzycmeansandfrequencyresponsefunctioncurvaturemethods AT zefengwang damageidentificationofrotatingbladesbasedonfuzzycmeansandfrequencyresponsefunctioncurvaturemethods AT zhiguangsong damageidentificationofrotatingbladesbasedonfuzzycmeansandfrequencyresponsefunctioncurvaturemethods |