Online Degradation Feature Extraction of Shore Bridge Gearbox based on Morphological Fractal and Sliding Window Weibull Fitting
In order to solve the degenerative feature extraction issue of hoisting mechanism gearbox, an online extraction method for degeneration feature based on mathematical morphological fractal dimension and sliding window Weibull fitting is proposed. Firstly, according to the analysis period, the fractal...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2019-09-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.09.026 |
| _version_ | 1826882726212403200 |
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| author | Dejian Sun Xiong Hu Bing Wang Wei Wang Jichang Lin |
| author_facet | Dejian Sun Xiong Hu Bing Wang Wei Wang Jichang Lin |
| author_sort | Dejian Sun |
| collection | DOAJ |
| description | In order to solve the degenerative feature extraction issue of hoisting mechanism gearbox, an online extraction method for degeneration feature based on mathematical morphological fractal dimension and sliding window Weibull fitting is proposed. Firstly, according to the analysis period, the fractal dimension of the vibration energy spectrum is calculated and forming a fractal evolution curve. Performing a three-parameter Weibull fitting on the fractal sequence in the window after setting the sliding window width and step size and the scale parameter of the model is used as the performance degradation feature indicator. The effectiveness of the method is verified by using the full-life data of the hoisting gearbox of the industrial site monitoring. The results show that the mathematical morphological fractal dimension is able to describe the fractal complexity of vibration energy spectrum. The scale parameter of Weibull distribution is able to reflect the performance degradation trend of fractal curve smoothly, which lays a theoretical foundation for further solving the problem of online health assessment. |
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| format | Article |
| id | doaj.art-d333cf81058f4e1298f6eca3a5bd3bcb |
| institution | Directory Open Access Journal |
| issn | 1004-2539 |
| language | zho |
| last_indexed | 2025-02-17T03:20:05Z |
| publishDate | 2019-09-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj.art-d333cf81058f4e1298f6eca3a5bd3bcb2025-01-10T13:57:49ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392019-09-014314815330641818Online Degradation Feature Extraction of Shore Bridge Gearbox based on Morphological Fractal and Sliding Window Weibull FittingDejian SunXiong HuBing WangWei WangJichang LinIn order to solve the degenerative feature extraction issue of hoisting mechanism gearbox, an online extraction method for degeneration feature based on mathematical morphological fractal dimension and sliding window Weibull fitting is proposed. Firstly, according to the analysis period, the fractal dimension of the vibration energy spectrum is calculated and forming a fractal evolution curve. Performing a three-parameter Weibull fitting on the fractal sequence in the window after setting the sliding window width and step size and the scale parameter of the model is used as the performance degradation feature indicator. The effectiveness of the method is verified by using the full-life data of the hoisting gearbox of the industrial site monitoring. The results show that the mathematical morphological fractal dimension is able to describe the fractal complexity of vibration energy spectrum. The scale parameter of Weibull distribution is able to reflect the performance degradation trend of fractal curve smoothly, which lays a theoretical foundation for further solving the problem of online health assessment.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.09.026Shore bridgeDegradation feature extractionFractal dimensionWeibull distributionGearbox |
| spellingShingle | Dejian Sun Xiong Hu Bing Wang Wei Wang Jichang Lin Online Degradation Feature Extraction of Shore Bridge Gearbox based on Morphological Fractal and Sliding Window Weibull Fitting Jixie chuandong Shore bridge Degradation feature extraction Fractal dimension Weibull distribution Gearbox |
| title | Online Degradation Feature Extraction of Shore Bridge Gearbox based on Morphological Fractal and Sliding Window Weibull Fitting |
| title_full | Online Degradation Feature Extraction of Shore Bridge Gearbox based on Morphological Fractal and Sliding Window Weibull Fitting |
| title_fullStr | Online Degradation Feature Extraction of Shore Bridge Gearbox based on Morphological Fractal and Sliding Window Weibull Fitting |
| title_full_unstemmed | Online Degradation Feature Extraction of Shore Bridge Gearbox based on Morphological Fractal and Sliding Window Weibull Fitting |
| title_short | Online Degradation Feature Extraction of Shore Bridge Gearbox based on Morphological Fractal and Sliding Window Weibull Fitting |
| title_sort | online degradation feature extraction of shore bridge gearbox based on morphological fractal and sliding window weibull fitting |
| topic | Shore bridge Degradation feature extraction Fractal dimension Weibull distribution Gearbox |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.09.026 |
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