Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)

Small Sample Data Method Research on Reliability Modeling of Direct Reusing Electromechanical Servo System

Authors
Wenbin Ma, Jianhua Liu, Ziqiang Zhou
Corresponding Author
Wenbin Ma
Available Online May 2018.
DOI
10.2991/amcce-18.2018.2How to use a DOI?
Keywords
sample data method; Direct reutilization of servo motor; reliability modeling
Abstract

Servo motor is one of the high value-added mechanical and electrical products, The servomotor disassembled from the waste equipment can be reused after the performance index is verified. But there is always a doubt about its reliability in the process of reuse. Based on the Bayes reliability theory, this paper establishes a small sample reused reliability model for the direct reuse of the servo motor. And the identification method of model parameters is given, and the experimental conditions are given. According to the theory, the reliability model based on the data is established according to the theory.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
Series
Advances in Engineering Research
Publication Date
May 2018
ISBN
10.2991/amcce-18.2018.2
ISSN
2352-5401
DOI
10.2991/amcce-18.2018.2How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wenbin Ma
AU  - Jianhua Liu
AU  - Ziqiang Zhou
PY  - 2018/05
DA  - 2018/05
TI  - Small Sample Data Method Research on Reliability Modeling of Direct Reusing Electromechanical Servo System
BT  - Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
PB  - Atlantis Press
SP  - 5
EP  - 8
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-18.2018.2
DO  - 10.2991/amcce-18.2018.2
ID  - Ma2018/05
ER  -