An Online Degradation Feature Extraction Technique for Shore Bridge Gearbox Based on Morphological Fractal Dimension and Sliding Window Weibull Fitting
المؤلفون المشاركون
Wang, Bing
Sun, Dejian
Hu, Xiong
Wang, Wei
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-10-30
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Shore bridge and other port cranes have some working condition characters including high speed, heavy load, and large impact.
In order to solve the degradation feature extraction issue of hoisting mechanism gearbox, an online degradation feature extraction technique based on morphological fractal dimension and sliding window Weibull fitting is proposed.
Firstly, taking the vibration energy spectrum collecting from the gearbox as the online data source, the fractal dimension of the vibration energy spectrum during an analysis period is calculated and a fractal evolution curve is obtained.
A three-parameter Weibull fitting on the fractal curve within a sliding window after setting the window’s width and step size is performed.
The scale parameter of the Weibull fitting model is introduced as the performance degradation feature.
The effectiveness of the technique is verified by the full-life vibration data of hoisting gearbox from Shanghai Port Group.
The results show that the morphological fractal dimension is able to describe the fractal complexity of the 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.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sun, Dejian& Wang, Bing& Hu, Xiong& Wang, Wei. 2019. An Online Degradation Feature Extraction Technique for Shore Bridge Gearbox Based on Morphological Fractal Dimension and Sliding Window Weibull Fitting. Shock and Vibration،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1211678
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sun, Dejian…[et al.]. An Online Degradation Feature Extraction Technique for Shore Bridge Gearbox Based on Morphological Fractal Dimension and Sliding Window Weibull Fitting. Shock and Vibration No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1211678
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sun, Dejian& Wang, Bing& Hu, Xiong& Wang, Wei. An Online Degradation Feature Extraction Technique for Shore Bridge Gearbox Based on Morphological Fractal Dimension and Sliding Window Weibull Fitting. Shock and Vibration. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1211678
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1211678
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر