A Novel Bearing Fault Diagnosis Method Based on Gaussian Restricted Boltzmann Machine
المؤلفون المشاركون
He, Xiao-hui
Wang, Dong
Li, Yan-feng
Zhou, Chun-hua
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-12-28
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
To realize the fault diagnosis of bearing effectively, this paper presents a novel bearing fault diagnosis method based on Gaussian restricted Boltzmann machine (Gaussian RBM).
Vibration signals are firstly resampled to the same equivalent speed.
Subsequently, the envelope spectrums of the resampled data are used directly as the feature vectors to represent the fault types of bearing.
Finally, in order to deal with the high-dimensional feature vectors based on envelope spectrum, a classifier model based on Gaussian RBM is applied.
Gaussian RBM has the ability to provide a closed-form representation of the distribution underlying the training data, and it is very convenient for modeling high-dimensional real-valued data.
Experiments on 10 different data sets verify the performance of the proposed method.
The superiority of Gaussian RBM classifier is also confirmed by comparing with other classifiers, such as extreme learning machine, support vector machine, and deep belief network.
The robustness of the proposed method is also studied in this paper.
It can be concluded that the proposed method can realize the bearing fault diagnosis accurately and effectively.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
He, Xiao-hui& Wang, Dong& Li, Yan-feng& Zhou, Chun-hua. 2016. A Novel Bearing Fault Diagnosis Method Based on Gaussian Restricted Boltzmann Machine. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1111960
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
He, Xiao-hui…[et al.]. A Novel Bearing Fault Diagnosis Method Based on Gaussian Restricted Boltzmann Machine. Mathematical Problems in Engineering No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1111960
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
He, Xiao-hui& Wang, Dong& Li, Yan-feng& Zhou, Chun-hua. A Novel Bearing Fault Diagnosis Method Based on Gaussian Restricted Boltzmann Machine. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1111960
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1111960
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