Vibration analysis of gearbox fault diagnosis using DWT and statistical feature
المؤلفون المشاركون
Suresh, Setti
M Srinivas
Naidu, VPS
المصدر
Journal of Engineering Research
العدد
المجلد 10، العدد 3 B (30 سبتمبر/أيلول 2022)، ص ص. 156-165، 10ص.
الناشر
جامعة الكويت مجلس النشر العلمي
تاريخ النشر
2022-09-30
دولة النشر
الكويت
عدد الصفحات
10
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
The gearbox is one of the critical subsystems in any rotating machinery, which plays a significant role in machine-driven power transmission in terms of change in speed and torque.
It plays a vital role in patching different industrial functionalities.
The advent of developing different gear technologies and the requirement to fulfil the desired mechanical benefits lead to adding more importance to the gearbox health condition monitoring from various types of fault occurrences at an earlier stage.
This study presents the vibration analysis of gearbox fault diagnosis using discrete wavelet transform (DWT) and statistical features.
It is observed that, using wavelet reconstruction in the fault diagnosis, a better fault classification is achieved.
The fault diagnosis has been presented with an emphasis in time-domain followed by two different approaches.
The approach-1 is illustrated as windowing of raw signal, feature extraction, and feature classification using support vector machine (SVM).
In the approach-2, after windowing the raw signal, each window of original vibration signal has converted into wavelet coefficients reconstructed signals (without leaving the time domain) using discrete wavelet transform (DWT) at different levels of decomposition followed by approach-1.
The fault diagnostic accuracy of SVM is presented with 100 Monte-Carlo runs to validate the consistency in the accomplished result.
By observing the success rates in two approaches, it is clear that approach2 with wavelet coefficient’s reconstructed signal is providing better classification accuracy, which can be practically deployed to diagnose the gearbox fault.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Suresh, Setti& M Srinivas& Naidu, VPS. 2022. Vibration analysis of gearbox fault diagnosis using DWT and statistical feature. Journal of Engineering Research،Vol. 10, no. 3 B, pp.156-165.
https://search.emarefa.net/detail/BIM-1495279
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Suresh, Setti…[et al.]. Vibration analysis of gearbox fault diagnosis using DWT and statistical feature. Journal of Engineering Research Vol. 10, no. 3 B (Sep. 2022), pp.156-165.
https://search.emarefa.net/detail/BIM-1495279
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Suresh, Setti& M Srinivas& Naidu, VPS. Vibration analysis of gearbox fault diagnosis using DWT and statistical feature. Journal of Engineering Research. 2022. Vol. 10, no. 3 B, pp.156-165.
https://search.emarefa.net/detail/BIM-1495279
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 164-165
رقم السجل
BIM-1495279
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