Fault Diagnosis of Motor Bearing by Analyzing a Video Clip
المؤلفون المشاركون
Lu, Siliang
Wang, Xiaoxian
Liu, Fang
Liu, Yongbin
Zhao, Jiwen
He, Qingbo
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-03-24
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Conventional bearing fault diagnosis methods require specialized instruments to acquire signals that can reflect the health condition of the bearing.
For instance, an accelerometer is used to acquire vibration signals, whereas an encoder is used to measure motor shaft speed.
This study proposes a new method for simplifying the instruments for motor bearing fault diagnosis.
Specifically, a video clip recording of a running bearing system is captured using a cellphone that is equipped with a camera and a microphone.
The recorded video is subsequently analyzed to obtain the instantaneous frequency of rotation (IFR).
The instantaneous fault characteristic frequency (IFCF) of the defective bearing is obtained by analyzing the sound signal that is recorded by the microphone.
The fault characteristic order is calculated by dividing IFCF by IFR to identify the fault type of the bearing.
The effectiveness and robustness of the proposed method are verified by a series of experiments.
This study provides a simple, flexible, and effective solution for motor bearing fault diagnosis.
Given that the signals are gathered using an affordable and accessible cellphone, the proposed method is proven suitable for diagnosing the health conditions of bearing systems that are located in remote areas where specialized instruments are unavailable or limited.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Lu, Siliang& Wang, Xiaoxian& Liu, Fang& He, Qingbo& Liu, Yongbin& Zhao, Jiwen. 2016. Fault Diagnosis of Motor Bearing by Analyzing a Video Clip. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112657
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Lu, Siliang…[et al.]. Fault Diagnosis of Motor Bearing by Analyzing a Video Clip. Mathematical Problems in Engineering No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1112657
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Lu, Siliang& Wang, Xiaoxian& Liu, Fang& He, Qingbo& Liu, Yongbin& Zhao, Jiwen. Fault Diagnosis of Motor Bearing by Analyzing a Video Clip. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112657
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1112657
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