A Novel Improved Local Binary Pattern and Its Application to the Fault Diagnosis of Diesel Engine
المؤلفون المشاركون
Cai, Yanping
Xu, Guanghua
Li, Aihua
Wang, Xu
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-02-21
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
Aiming at the feature extraction difficulty of vibration signals, an improved local binary pattern- (ILBP-) based diesel engine fault diagnosis approach is proposed.
To effectively make use of the component spatial information in time-frequency images, local binary pattern (LBP) algorithm is applied.
Also, in view of the problems that traditional LBP coding is easily interfered by singular pixel points and the relative spatial information is not prominent, an improved coding rule of the LBP operator is put forward in this paper.
Compared with some typical LBP algorithms, computational complexity of the proposed ILBP algorithm is greatly reduced, and the coding sparsity is greatly improved.
The ILBP operator is applied to fault diagnosis of BF4L1011F diesel engine with eight different valve conditions.
For comparison, six kinds of time-frequency distribution are used to convert raw vibration signals into time-frequency images, and then circular LBP, rotation-invariant LBP, uniform LBP, and ILBP operator are applied for texture coding.
Finally, nearest neighbor classifier (NNC) and support vector machine (SVM) are used for fault identification.
The classification results show that the ILBP operator proposed in this paper can better describe the texture feature information in vibration time-frequency images of the diesel engine, and a good diagnostic effect can be achieved by combining wavelet packet (WP) distribution and ILBP.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Cai, Yanping& Xu, Guanghua& Li, Aihua& Wang, Xu. 2020. A Novel Improved Local Binary Pattern and Its Application to the Fault Diagnosis of Diesel Engine. Shock and Vibration،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1213719
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Cai, Yanping…[et al.]. A Novel Improved Local Binary Pattern and Its Application to the Fault Diagnosis of Diesel Engine. Shock and Vibration No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1213719
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Cai, Yanping& Xu, Guanghua& Li, Aihua& Wang, Xu. A Novel Improved Local Binary Pattern and Its Application to the Fault Diagnosis of Diesel Engine. Shock and Vibration. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1213719
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1213719
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