Accession Number:

ADA585476

Title:

Dynamic Data-Driven Prognostics and Condition Monitoring of On-board Electronics

Descriptive Note:

Final rept. 12 Sep 2008-11 Sep 2010

Corporate Author:

QUALTECH SYSTEMS INC WETHERSFIELD CT

Report Date:

2012-08-27

Pagination or Media Count:

48.0

Abstract:

Under This STTR project, Qualtech Systems Inc. QSI, in collaboration with University of Maryland, and Northrop Grumman Co. Aerospace systems has developed a data-driven prognostic and condition monitoring solution that can be applied to complex electronic systems. The solution comprises of a library of detection, classification, forecasting, and inference algorithms implemented in software and hosted in QSIs TEAMS Testability Analysis and Maintenance System platform. The solution can detect, identify, and diagnose faults in real-time estimate degradations in a system in real-time estimate the time to fault, and estimate the remaining useful life RUL of systemsubsystemcomponents. For the diagnostic root cause identification purpose, dependency model-based analysis is used in conjunction with data-driven methods. The solution has been tested on a small number of representative electronic systems for instance RUL estimation of computer components, and condition monitoring of KN-4073 INSGPS used on Armys MQ-8 Fire Scout UAV.

Subject Categories:

  • Electrical and Electronic Equipment
  • Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE