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Time-Frequency Fault Feature Extraction for Rolling Bearing Based on the Tensor Manifold Method
المؤلفون المشاركون
Zhang, Lihua
Wang, Lei
Yan, Dawen
Chen, Shouhai
Wang, Fengtao
Sun, Jian
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-08-04
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
Rolling-bearing faults can be effectively reflected using time-frequency characteristics.
However, there are inevitable interference and redundancy components in the conventional time-frequency characteristics.
Therefore, it is critical to extract the sensitive parameters that reflect the rolling-bearing state from the time-frequency characteristics to accurately classify rolling-bearing faults.
Thus, a new tensor manifold method is proposed.
First, we apply the Hilbert-Huang transform (HHT) to rolling-bearing vibration signals to obtain the HHT time-frequency spectrum, which can be transformed into the HHT time-frequency energy histogram.
Then, the tensor manifold time-frequency energy histogram is extracted from the traditional HHT time-frequency spectrum using the tensor manifold method.
Five time-frequency characteristic parameters are defined to quantitatively depict the failure characteristics.
Finally, the tensor manifold time-frequency characteristic parameters and probabilistic neural network (PNN) are combined to effectively classify the rolling-bearing failure samples.
Engineering data are used to validate the proposed method.
Compared with traditional HHT time-frequency characteristic parameters, the information redundancy of the time-frequency characteristics is greatly reduced using the tensor manifold time-frequency characteristic parameters and different rolling-bearing fault states are more effectively distinguished when combined with the PNN.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Fengtao& Chen, Shouhai& Sun, Jian& Yan, Dawen& Wang, Lei& Zhang, Lihua. 2014. Time-Frequency Fault Feature Extraction for Rolling Bearing Based on the Tensor Manifold Method. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-453878
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Fengtao…[et al.]. Time-Frequency Fault Feature Extraction for Rolling Bearing Based on the Tensor Manifold Method. Mathematical Problems in Engineering No. 2014 (2014), pp.1-15.
https://search.emarefa.net/detail/BIM-453878
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Fengtao& Chen, Shouhai& Sun, Jian& Yan, Dawen& Wang, Lei& Zhang, Lihua. Time-Frequency Fault Feature Extraction for Rolling Bearing Based on the Tensor Manifold Method. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-453878
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-453878
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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