DocumentCode
1791896
Title
System reliability analysis of NC Equipment based on system failure evolution model
Author
Qingli Wang ; Jianmin Gao ; Kun Chen ; Aiming Xu
Author_Institution
State Key Lab. for Strength & Vibration of Mech. Struct., Xi´an Jiaotong Univ., Xian, China
fYear
2014
fDate
3-6 Aug. 2014
Firstpage
390
Lastpage
395
Abstract
Numerical control (NC) machine tool is typical mechatronics system with complicated failure features. System reliability may be affected by the internal properties, external factors, dynamic physical effects and the complex interdependent relationship, and it is too complicated to accurately model or analyse by conventional methods. Improving the reliability of machine tool cannot rely solely on improving unit parts reliability level, and reliability design should be performed at the system level for a better profit. For this purpose, using agent-oriented modeling method, a system failure evolution model is proposed to simulate the failure dynamic process. With the model, not only system lifetime and reliability can be analyzed, system failure mechanism and impact of the internal properties, external factors and system parameters also can be researched. Unit failure-agent model, system-level failure-agent model, hierarchical model structure and simulation control method are described separately. Finally, an example of the machine tool´s feed system model is given to simulate and analyze system life, and a further analysis indicate that the model is valid and close to the real data.
Keywords
computerised numerical control; digital simulation; failure (mechanical); machine tools; mechanical engineering computing; multi-agent systems; reliability; NC equipment; NC machine tool; agent-oriented modeling method; complex interdependent relationship; dynamic physical effects; external factors; failure dynamic process simulation; hierarchical model structure; internal properties; machine tool feed system model; mechatronics system; numerical control machine tool; simulation control method; system failure evolution model; system reliability analysis; system-level failure-agent model; unit failure-agent model; Analytical models; Computer numerical control; Data models; Feeds; Machine tools; Reliability; Servomotors; Complex interaction; Failure evolution model; Failure-Agent model; NC Equipment; System reliability;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation (ICMA), 2014 IEEE International Conference on
Conference_Location
Tianjin
Print_ISBN
978-1-4799-3978-7
Type
conf
DOI
10.1109/ICMA.2014.6885729
Filename
6885729
Link To Document