A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing
المؤلفون المشاركون
Aijun, Hu
Jianfeng, Lin
Shangfei, Sun
Ling, Xiang
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-08-31
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
The fault signals of rolling element bearing are often characterized by the presence of periodic impulses, which are modulated high-frequency harmonic components.
The features of early fault in rolling bearing are very weak, which are often masked by background noise.
The impulsiveness of the vibration signal has affected the identification of characteristic frequency for the early fault detection of the bearing.
In this paper, a novel approach based on morphological operators is presented for impulsive signal extraction of early fault in rolling element bearing.
The combination Top-Hat (CTH) is proposed to extract the impulsive signal and enhance the impulsiveness of the bearing fault signal, and the envelope analysis is applied to reveal the fault-related signatures.
The impulsive extraction performance of the proposed CTH is compared with that of finite impulse response filter (FIR) by analyzing the simulated bearing fault signals, and the result indicates that the CTH is more effective in extracting impulsive signals.
The method is evaluated using real fault signals from defective bearings with early rolling element fault and early fault located on the outer race.
The results show that the proposed method is able to enhance the impulsiveness of early bearing fault signals.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Aijun, Hu& Jianfeng, Lin& Shangfei, Sun& Ling, Xiang. 2017. A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing. Shock and Vibration،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1205184
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Aijun, Hu…[et al.]. A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing. Shock and Vibration No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1205184
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Aijun, Hu& Jianfeng, Lin& Shangfei, Sun& Ling, Xiang. A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing. Shock and Vibration. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1205184
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1205184
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