![](/images/graphics-bg.png)
Transient Reliability Evaluation Approach of Flexible Mechanism with GA-Extremum Neural Network
المؤلفون المشاركون
Zhao, Yongjun
Fei, Chengwei
An, Liqiang
Yuan, Liu
Hu, Yan
Lu, Cheng
Huang, Bo
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-11-16
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Efficient analytical model directly enhances the reliability evaluation of flexible mechanism under operation.
In this paper, genetic algorithm-based extremum neural network (GA-ENN) is developed as reliability model by introducing the thoughts of extremum and genetic algorithm (GA) into artificial neural network to address the key problems comprising transient response and modeling precision in the dynamic reliability analysis of flexible mechanism in a time domain.
The thought of extremum is adopted to simplify transient response process as one extremum value to the difficulty of dynamic reliability analysis induced by transient process response, and the GA is applied to find the optimal model parameters of reliability model.
The dynamic reliability analysis of two-link flexible robot manipulator (TFRM) (a typical flexible mechanism) was implemented based on the GA-ENN method, regarding the input random variables of material density, elastic modulus, section sizes of components, and the output response of components’ deformations.
From the analysis, the comprehensive reliability of the TFRM is 0.951 when the allowable deformation is 1.8 × 10−2 m.
Besides, the maximum deformations of the two components follow the normal distributions with the means of 1.45 × 10−2 m and 1.69 × 10−2 m and the standard variances of 6.77 × 10−4 m and 4.08 × 10−4 m, respectively.
Through the comparison of methods, it is illustrated that the developed GA-ENN improves the simulation efficiency and modeling accuracy by overcoming the problems of transient response and model parameter optimization in the dynamic reliability analysis of TFRM.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhao, Yongjun& Lu, Cheng& Fei, Chengwei& An, Liqiang& Hu, Yan& Huang, Bo…[et al.]. 2020. Transient Reliability Evaluation Approach of Flexible Mechanism with GA-Extremum Neural Network. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1197070
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhao, Yongjun…[et al.]. Transient Reliability Evaluation Approach of Flexible Mechanism with GA-Extremum Neural Network. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1197070
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhao, Yongjun& Lu, Cheng& Fei, Chengwei& An, Liqiang& Hu, Yan& Huang, Bo…[et al.]. Transient Reliability Evaluation Approach of Flexible Mechanism with GA-Extremum Neural Network. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1197070
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1197070
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
![](/images/ebook-kashef.png)
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
![](/images/kashef-image.png)