دورية أكاديمية
Application of Axis Orbit Image Optimization in Fault Diagnosis for Rotor System
| العنوان: | Application of Axis Orbit Image Optimization in Fault Diagnosis for Rotor System |
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| المؤلفون: | Xinyu Pang, Jie Shao, Xuanyi Xue, Wangwang Jiang |
| المصدر: | International Journal of Rotating Machinery, Vol 2020 (2020) |
| بيانات النشر: | Wiley, 2020. |
| سنة النشر: | 2020 |
| المجموعة: | LCC:Engineering (General). Civil engineering (General) |
| مصطلحات موضوعية: | Engineering (General). Civil engineering (General), TA1-2040 |
| الوصف: | The shape characteristic of the axis orbit plays an important role in the fault diagnosis of rotating machinery. However, the original signal is typically messy, and this affects the identification accuracy and identification speed. In order to improve the identification effect, an effective fault identification method for a rotor system based on the axis orbit is proposed. The method is a combination of ensemble empirical mode decomposition (EEMD), morphological image processing, Hu invariant moment feature vector, and back propagation (BP) neural network. Experiments of four fault forms are performed in single-span rotor and double-span rotor test rigs. Vibration displacement signals in the X and Y directions of the rotor are processed via EEMD filtering to eliminate the high-frequency noise. The mathematical morphology is used to optimize the axis orbit including the dilation and skeleton operation. After image processing, Hu invariant moments of the skeleton axis orbits are calculated as the feature vector. Finally, the BP neural network is trained to identify the faults of the rotor system. The experimental results indicate that the time of identification of the tested axis orbits via morphological processing corresponds to 13.05 s, and the identification accuracy rate ranges to 95%. Both exceed that without mathematical morphology. The proposed method is reliable and effective for the identification of the axis orbit and aids in online monitoring and automatic identification of rotor system faults. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1023-621X 1542-3034 |
| Relation: | https://doaj.org/toc/1023-621X; https://doaj.org/toc/1542-3034 |
| DOI: | 10.1155/2020/9540791 |
| URL الوصول: | https://doaj.org/article/0611bb0220f4426392f8007b9d03740e |
| رقم الأكسشن: | edsdoj.0611bb0220f4426392f8007b9d03740e |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 1023621X 15423034 |
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| DOI: | 10.1155/2020/9540791 |