دورية أكاديمية
A Fault Diagnosis Method for Rolling Bearings Based on Feature Fusion of Multifractal Detrended Fluctuation Analysis and Alpha Stable Distribution
| العنوان: | A Fault Diagnosis Method for Rolling Bearings Based on Feature Fusion of Multifractal Detrended Fluctuation Analysis and Alpha Stable Distribution |
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| المؤلفون: | Qing Xiong, Weihua Zhang, Tianwei Lu, Guiming Mei, Shulin Liang |
| المصدر: | Shock and Vibration, Vol 2016 (2016) |
| بيانات النشر: | Hindawi Limited, 2016. |
| سنة النشر: | 2016 |
| المجموعة: | LCC:Physics |
| مصطلحات موضوعية: | Physics, QC1-999 |
| الوصف: | When rolling bearings fail, it is usually difficult to determine the degree of damage. To address this problem, a new fault diagnosis method was developed to perform feature extraction and intelligent classification of various fault position and damage degree of rolling bearing signals. Firstly, Multifractal Detrended Fluctuation Analysis (MFDFA) was used to compute five MFDFA features while five Alpha Stable Distribution (ASD) features were obtained by fitting the distribution to the vibration signals of each status and calculating the Probability Density Function (PDF). Secondly, Kernel Principle Component Analysis (KPCA) was used to achieve dimensionality reduction fusion of the combination of original features to gain the Kernel Principle Component Fusion Features (KPCFFs). Thirdly, the KPCFFs served as the input of Least Squares Support Vectors Machine (LSSVM) based on Particle Swarm Optimization (PSO) to assess rolling bearings’ fault position and damage severity. Finally, the effectiveness of the method was validated by bench test data. The results demonstrated that the developed method can achieve intelligent diagnosis of rolling bearings’ fault position and damage degree and can yield better diagnosis accuracy than single feature method or corresponding single feature fusion method. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1070-9622 1875-9203 |
| العلاقة: | https://doaj.org/toc/1070-9622Test; https://doaj.org/toc/1875-9203Test |
| DOI: | 10.1155/2016/1232893 |
| الوصول الحر: | https://doaj.org/article/792e4d3728b2411fb86363ba816be2e6Test |
| رقم الانضمام: | edsdoj.792e4d3728b2411fb86363ba816be2e6 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 10709622 18759203 |
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| DOI: | 10.1155/2016/1232893 |