![](/images/graphics-bg.png)
Automatic Condition Monitoring of Industrial Rolling-Element Bearings Using Motor’s Vibration and Current Analysis
المؤلف
المصدر
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-09-28
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
An automatic condition monitoring for a class of industrial rolling-element bearings is developed based on the vibration as well as stator current analysis.
The considered fault scenarios include a single-point defect, multiple-point defects, and a type of distributed defect.
Motivated by the potential commercialization, the developed system is promoted mainly using off-the-shelf techniques, that is, the high-frequency resonance technique with envelope detection and the average of short-time Fourier transform.
In order to test the flexibility and robustness, the monitoring performance is extensively studied under diverse operating conditions: different sensor locations, motor speeds, loading conditions, and data samples from different time segments.
The experimental results showed the powerful capability of vibration analysis in the bearing point defect fault diagnosis.
The current analysis also showed a moderate capability in diagnosis of point defect faults depending on the type of fault, severity of the fault, and the operational condition.
The temporal feature indicated a feasibility to detect generalized roughness fault.
The practical issues, such as deviations of predicted characteristic frequencies, sideband effects, time-average of spectra, and selection of fault index and thresholds, are also discussed.
The experimental work shows a huge potential to use some simple methods for successful diagnosis of industrial bearing systems.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yang, Zhenyu. 2015. Automatic Condition Monitoring of Industrial Rolling-Element Bearings Using Motor’s Vibration and Current Analysis. Shock and Vibration،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1078176
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yang, Zhenyu. Automatic Condition Monitoring of Industrial Rolling-Element Bearings Using Motor’s Vibration and Current Analysis. Shock and Vibration No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1078176
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yang, Zhenyu. Automatic Condition Monitoring of Industrial Rolling-Element Bearings Using Motor’s Vibration and Current Analysis. Shock and Vibration. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1078176
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1078176
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
![](/images/ebook-kashef.png)
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
![](/images/kashef-image.png)