Evaluation of Effectiveness of Wavelet Based Denoising Schemes Using ANN and SVM for Bearing Condition Classification
المؤلفون المشاركون
Rao, Raj B. K. N.
H. S., Kumar
Srinivasa Pai, P.
G. S., Vijay
N. S., Sriram
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2012-11-14
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
The wavelet based denoising has proven its ability to denoise the bearing vibration signals by improving the signal-to-noise ratio (SNR) and reducing the root-mean-square error (RMSE).
In this paper seven wavelet based denoising schemes have been evaluated based on the performance of the Artificial Neural Network (ANN) and the Support Vector Machine (SVM), for the bearing condition classification.
The work consists of two parts, the first part in which a synthetic signal simulating the defective bearing vibration signal with Gaussian noise was subjected to these denoising schemes.
The best scheme based on the SNR and the RMSE was identified.
In the second part, the vibration signals collected from a customized Rolling Element Bearing (REB) test rig for four bearing conditions were subjected to these denoising schemes.
Several time and frequency domain features were extracted from the denoised signals, out of which a few sensitive features were selected using the Fisher’s Criterion (FC).
Extracted features were used to train and test the ANN and the SVM.
The best denoising scheme identified, based on the classification performances of the ANN and the SVM, was found to be the same as the one obtained using the synthetic signal.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
G. S., Vijay& H. S., Kumar& Srinivasa Pai, P.& N. S., Sriram& Rao, Raj B. K. N.. 2012. Evaluation of Effectiveness of Wavelet Based Denoising Schemes Using ANN and SVM for Bearing Condition Classification. Computational Intelligence and Neuroscience،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-482588
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
G. S., Vijay…[et al.]. Evaluation of Effectiveness of Wavelet Based Denoising Schemes Using ANN and SVM for Bearing Condition Classification. Computational Intelligence and Neuroscience No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-482588
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
G. S., Vijay& H. S., Kumar& Srinivasa Pai, P.& N. S., Sriram& Rao, Raj B. K. N.. Evaluation of Effectiveness of Wavelet Based Denoising Schemes Using ANN and SVM for Bearing Condition Classification. Computational Intelligence and Neuroscience. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-482588
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-482588
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