Evaluating the Effect of Integrated System Health Management on Mission Effectiveness

Abstract

This research used systems architecture to develop a model that determined the effect of Integrated System Health Management (ISHM) on mission success rates for unmanned aerial systems (UAS). To evaluate this effect, a simulation model was developed and used to analyze the difference between mission success rates for a theoretical UAS with and without ISHM. Design of Experiments analysis techniques were used to map a response surface that modeled the difference between mission success rates calculated for current health management technology and ISHM. Using representative data for a UAS, the analysis determined that the failure distribution parameters, sensor quality (which determines the relationship between probability of detection and probability of false alarm), and probability of an imminent fault during a mission were significant to the model. The result of the model determined that ISHM can result in a significant improvement on mission assurance, especially when implemented with higher quality sensors and on vehicles where the probability of imminent failure is higher relative to the mission times and time between preventative maintenance. This appears consistent with the premise that ISHM can support an extension of preventative maintenance intervals with an attendant reduction in sustainment cost.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2013
Accession Number
ADA583217

Entities

People

  • Sarah E. Storm

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • C4I
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Autonomous Vehicles
  • Command And Control
  • Computational Science
  • Control Systems
  • Data Science
  • Data Storage Systems
  • Experimental Design
  • Failure Mode And Effect Analysis
  • Ground Control Stations
  • Information Science
  • Maintenance
  • Statistical Analysis
  • Systems Engineering
  • Unmanned Aerial Systems
  • Unmanned Systems

Readers

  • Astronomy/Astrophysics
  • Computational Modeling and Simulation
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Autonomy