Dynamic Data-Driven Prognostics and Condition Monitoring of On-board Electronics
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 QSI's TEAMS (Testability Analysis and Maintenance System) platform. The solution can detect, identify, and diagnose faults in real-time; estimate degradation(s) in a system in real-time; estimate the time to fault, and estimate the remaining useful life (RUL) of system/subsystem/components. 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 INS/GPS (used on Army's MQ-8 Fire Scout UAV).
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 27, 2012
- Accession Number
- ADA585476
Entities
People
- Mohammad Azam
- Sudipto Ghoshal
- Sunil Dixit
Organizations
- Qualtech Systems Incorporation (United States)