An integrated framework for intelligent reliability design and prognostic health management of space robotic systems

Zhonglai Wang, Yi Chen, Erfu Yang

Research output: Contribution to conferencePaper

Abstract

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.

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Robotics
Health
Condition monitoring
Nuclear power plants
Manipulators
Failure analysis

Keywords

  • space robotics
  • reliability design
  • failure mechanism
  • fault diagnosis
  • fault drediction
  • condition monitoring
  • prognostic health management

Cite this

Wang, Z., Chen, Y., & Yang, E. (2015). An integrated framework for intelligent reliability design and prognostic health management of space robotic systems. 1-5. Paper presented at Space Robotics Symposium, Glasgow, United Kingdom.
Wang, Zhonglai ; Chen, Yi ; Yang, Erfu. / An integrated framework for intelligent reliability design and prognostic health management of space robotic systems. Paper presented at Space Robotics Symposium, Glasgow, United Kingdom.5 p.
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abstract = "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.",
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note = "Space Robotics Symposium : Present and Future Robotics In Space Applications ; Conference date: 29-10-2015 Through 30-10-2015",
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Wang, Z, Chen, Y & Yang, E 2015, 'An integrated framework for intelligent reliability design and prognostic health management of space robotic systems' Paper presented at Space Robotics Symposium, Glasgow, United Kingdom, 29/10/15 - 30/10/15, pp. 1-5.

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 conferencePaper

TY - CONF

T1 - An integrated framework for intelligent reliability design and prognostic health management of space robotic systems

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AU - Chen, Yi

AU - Yang, Erfu

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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.

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KW - reliability design

KW - failure mechanism

KW - fault diagnosis

KW - fault drediction

KW - condition monitoring

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Wang Z, Chen Y, Yang E. An integrated framework for intelligent reliability design and prognostic health management of space robotic systems. 2015. Paper presented at Space Robotics Symposium, Glasgow, United Kingdom.