Skip to main navigation Skip to search Skip to main content

Risk Control of Mission-Critical Systems: Abort Decision-Makings Integrating Health and Age Conditions

  • Li Yang
  • , Yi Chen
  • , Qingan Qiu*
  • , Jiantai Wang
  • *Corresponding author for this work
  • Beihang University
  • Beijing Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

The mission abort is an effective action to reduce the risk of casualties and enhance the survivability of mission-oriented systems, such as aircrafts, submarines, and unmanned aerial vehicles (UAV). A key target of operators in real mission environment is to strive for balance between the success possibility of a mission and system survivability (SS), via elaborate mission abort plans. In this article, we design mission abort policies based on two crucial information: 1) degradation degree of monitored health features, and 2) system age. Accordingly, the operators may abort the mission if the degradation attains a preset control limit at early system ages, or continue the task otherwise. We carry out loss analysis to determine the optimal abort action, by linking MSP and SS. Structural insights regarding the optimality of degradation control limit as well as age threshold are explored. For a comparative purpose, the performances of some heuristic abort policies are analytically evaluated. We make contribution by scheduling mission abort plans harnessing both condition monitoring and age information, which promotes the timeliness and robustness of risk control. A case study on inertial navigation systems of UAV executing line inspection missions is used to illustrate the applicability and superiority of the proposed abort policies.

Original languageEnglish
Pages (from-to)6887-6894
Number of pages8
JournalIEEE Transactions on Industrial Informatics
Volume18
Issue number10
DOIs
StatePublished - 1 Oct 2022

Keywords

  • Analytical structure
  • degradation
  • loss analysis
  • mission abort
  • survivability

Fingerprint

Dive into the research topics of 'Risk Control of Mission-Critical Systems: Abort Decision-Makings Integrating Health and Age Conditions'. Together they form a unique fingerprint.

Cite this