Abstract
| Language | English |
|---|---|
| Pages | 1-5 |
| Number of pages | 5 |
| Publication status | Published - 29 Oct 2015 |
| Event | Space Robotics Symposium: Present and Future Robotics In Space Applications - Technology & Innovation Centre, University of Strathclyde, Glasgow, United Kingdom Duration: 29 Oct 2015 → 30 Oct 2015 http://onlinelearning.dmem.strath.ac.uk/laulima/tiki-download_file.php?fileId=45799 |
Other
| Other | Space Robotics Symposium |
|---|---|
| Country | United Kingdom |
| City | Glasgow |
| Period | 29/10/15 → 30/10/15 |
| Internet address |
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Keywords
- space robotics
- reliability design
- failure mechanism
- fault diagnosis
- fault drediction
- condition monitoring
- prognostic health management
Cite this
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An integrated framework for intelligent reliability design and prognostic health management of space robotic systems. / Wang, Zhonglai; Chen, Yi; Yang, Erfu.
2015. 1-5 Paper presented at Space Robotics Symposium, Glasgow, United Kingdom.Research output: Contribution to conference › Paper
TY - CONF
T1 - An integrated framework for intelligent reliability design and prognostic health management of space robotic systems
AU - Wang, Zhonglai
AU - Chen, Yi
AU - Yang, Erfu
PY - 2015/10/29
Y1 - 2015/10/29
N2 - Space robotics has received significant attention from both theoretic research and applications. The mission in future will be involving and be heavily supported by different robotic systems, such as planetary rovers and manipulators for orbital servicing, etc. The harsh environment in space can severely affect the operating safety of space robotic systems and therefore the lifecycle reliability problem and prognostic healthmanagement have paramount importance to make the space robotic systems more successful and safer in future space missions. Though there has a great deal of research on failure detection, fault diagnosis and condition monitoring for conventional space systems and other engineering applications such as nuclear power station, it has a lack of research on the general methodology for both the reliability design and health management of space robotic systems to improve the operating safety. This paper proposes an integrated framework (named as iRPHM) in which the higher reliability is designed for space robotic systems by taking advantage of reliability-based intelligent design optimization while considering the expected random loadings. The prognostic health management (PHM) is implemented in the proposed framework to decrease the failures arising from the unexpected events in harsh space environment.
AB - Space robotics has received significant attention from both theoretic research and applications. The mission in future will be involving and be heavily supported by different robotic systems, such as planetary rovers and manipulators for orbital servicing, etc. The harsh environment in space can severely affect the operating safety of space robotic systems and therefore the lifecycle reliability problem and prognostic healthmanagement have paramount importance to make the space robotic systems more successful and safer in future space missions. Though there has a great deal of research on failure detection, fault diagnosis and condition monitoring for conventional space systems and other engineering applications such as nuclear power station, it has a lack of research on the general methodology for both the reliability design and health management of space robotic systems to improve the operating safety. This paper proposes an integrated framework (named as iRPHM) in which the higher reliability is designed for space robotic systems by taking advantage of reliability-based intelligent design optimization while considering the expected random loadings. The prognostic health management (PHM) is implemented in the proposed framework to decrease the failures arising from the unexpected events in harsh space environment.
KW - space robotics
KW - reliability design
KW - failure mechanism
KW - fault diagnosis
KW - fault drediction
KW - condition monitoring
KW - prognostic health management
M3 - Paper
SP - 1
EP - 5
ER -