research - Advanced Platforms Nostra Power System Condition Monitoring and Prognostics

The Need:
As new technology is integrated into day-to-day military operations, the problem of system failure becomes more acute. While every system strives to be robust and reliable, failure rates for electro-mechanical systems will never reach zero. Instead, failure risk can be more effectively mitigated by engineering systems that can predict and diagnose their own failures, allowing soldiers to take mitigating action before the system becomes unusable.
The
Project:
The iRobot® PackBot® EOD tactical mobile robot is used by soldiers every day in Iraq and Afghanistan; more than 3,000 have been delivered to military and civil defense forces. The Nostra system will help predict, reduce and eliminate robot power system failures, allowing a soldier to replace the battery or the robot before a failure occurs.
The
Goals:
  • Create a model-based inference system for predicting failure in electronic systems.
System Failure Mitigation
A model-based inference system predicts, reduces and eliminates PackBot power system failures.

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Funding
provided by:
US Army Research Development and Engineering Command Acquisition Center (RDECOM)
Partner:
Massachusetts Institute of Technology Computer Science and Artificial Intelligence Lab (CSAIL)
Project leader:
Dr. Bryan Adams, Senior Software Engineer

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Nostra: Power System Condition Monitoring and Prognostics
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