Gearbox Fault Features Extraction Using Vibration Measurements and Novel Adaptive Filtering Scheme
المؤلفون المشاركون
Ibrahim, Ghalib R.
Albarbar, Alhussein
المصدر
Advances in Acoustics and Vibration
العدد
المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2012-07-24
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
Vibration signals measured from a gearbox are complex multicomponent signals, generated by tooth meshing, gear shaft rotation, gearbox resonance vibration signatures, and a substantial amount of noise.
This paper presents a novel scheme for extracting gearbox fault features using adaptive filtering techniques for enhancing condition features, meshing frequency sidebands.
A modified least mean square (LMS) algorithm is examined and validated using only one accelerometer, instead of using two accelerometers in traditional arrangement, as the main signal and a desired signal is artificially generated from the measured shaft speed and gear meshing frequencies.
The proposed scheme is applied to a signal simulated from gearbox frequencies with a numerous values of step size.
Findings confirm that 10−5 step size invariably produces more accurate results and there has been a substantial improvement in signal clarity (better signal-to-noise ratio), which makes meshing frequency sidebands more discernible.
The developed scheme is validated via a number of experiments carried out using two-stage helical gearbox for a healthy pair of gears and a pair suffering from a tooth breakage with severity fault 1 (25% tooth removal) and fault 2 (50% tooth removal) under loads (0%, and 80% of the total load).
The experimental results show remarkable improvements and enhance gear condition features.
This paper illustrates that the new approach offers a more effective way to detect early faults.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ibrahim, Ghalib R.& Albarbar, Alhussein. 2012. Gearbox Fault Features Extraction Using Vibration Measurements and Novel Adaptive Filtering Scheme. Advances in Acoustics and Vibration،Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-460198
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ibrahim, Ghalib R.& Albarbar, Alhussein. Gearbox Fault Features Extraction Using Vibration Measurements and Novel Adaptive Filtering Scheme. Advances in Acoustics and Vibration No. 2012 (2012), pp.1-7.
https://search.emarefa.net/detail/BIM-460198
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ibrahim, Ghalib R.& Albarbar, Alhussein. Gearbox Fault Features Extraction Using Vibration Measurements and Novel Adaptive Filtering Scheme. Advances in Acoustics and Vibration. 2012. Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-460198
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-460198
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