A Signal Based Triangular Structuring Element for Mathematical Morphological Analysis and Its Application in Rolling Element Bearing Fault Diagnosis
المؤلفون المشاركون
Sun, Wei
Chen, Zhaowen
Gao, Ning
Chen, Qiong
Yan, Fengying
Zhang, Xinyu
Iftikhar, Maria
Liu, Shiwei
Ren, Zhongqi
المصدر
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-04-01
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
Mathematical morphology (MM) is an efficient nonlinear signal processing tool.
It can be adopted to extract fault information from bearing signal according to a structuring element (SE).
Since the bearing signal features differ for every unique cause of failure, the SEs should be well tailored to extract the fault feature from a particular signal.
In the following, a signal based triangular SE according to the statistics of the magnitude of a vibration signal is proposed, together with associated methodology, which processes the bearing signal by MM analysis based on proposed SE to get the morphology spectrum of a signal.
A correlation analysis on morphology spectrum is then employed to obtain the final classification of bearing faults.
The classification performance of the proposed method is evaluated by a set of bearing vibration signals with inner race, ball, and outer race faults, respectively.
Results show that all faults can be detected clearly and correctly.
Compared with a commonly used flat SE, the correlation analysis on morphology spectrum with proposed SE gives better performance at fault diagnosis of bearing, especially the identification of the location of outer race fault and the level of fault severity.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chen, Zhaowen& Gao, Ning& Sun, Wei& Chen, Qiong& Yan, Fengying& Zhang, Xinyu…[et al.]. 2014. A Signal Based Triangular Structuring Element for Mathematical Morphological Analysis and Its Application in Rolling Element Bearing Fault Diagnosis. Shock and Vibration،Vol. 2014, no. 2014, pp.1-16.
https://search.emarefa.net/detail/BIM-1047955
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chen, Zhaowen…[et al.]. A Signal Based Triangular Structuring Element for Mathematical Morphological Analysis and Its Application in Rolling Element Bearing Fault Diagnosis. Shock and Vibration No. 2014 (2014), pp.1-16.
https://search.emarefa.net/detail/BIM-1047955
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chen, Zhaowen& Gao, Ning& Sun, Wei& Chen, Qiong& Yan, Fengying& Zhang, Xinyu…[et al.]. A Signal Based Triangular Structuring Element for Mathematical Morphological Analysis and Its Application in Rolling Element Bearing Fault Diagnosis. Shock and Vibration. 2014. Vol. 2014, no. 2014, pp.1-16.
https://search.emarefa.net/detail/BIM-1047955
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1047955
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