Health monitoring and diagnostics of ground combat vehicles

Elena N. Bankowski; Christopher Miles; Michael S. Saboe; Peggy Gilbert

doi:10.1117/12.482695

1 August 2003 Health monitoring and diagnostics of ground combat vehicles

Elena N. Bankowski, Christopher Miles, Michael S. Saboe, Peggy Gilbert

Proceedings Volume 5049, Smart Structures and Materials 2003: Modeling, Signal Processing, and Control; (2003) https://doi.org/10.1117/12.482695
Event: Smart Structures and Materials, 2003, San Diego, California, United States

Abstract

The proposed technology is the Dependable Automated Reconfigurable Software (DARTS). The DARTS health and situation control continually tests the processing elements with Probe/Agent technology. Algorithms within the Health & Situation Control assess the health of the processors based on a criticality scoring system that considers mission requirements. Probes launched by the DARTS Controller query processing elements. The probed data is sent to a gauge that has a variable sensitivity or gain. Statistical Usage models and criticality scoring control the sensitivity of the gauge. In response to the gauge, the replicating process launches agents that can insert anomalous events for diagnoistic pruposes. In this context, a probe is a subset of an agent having only the abilty to query without affecting framework, I/O protocol or Quality of Service. Each weapon system fitted with a DARTS Controller will control self-repair and reconfiguration of on-board processors utilizing a statistical based intelligent scoring system. It considers criticality of the function in the current battlefield situation. DARTS is a software system that enhances the performance of a weapon system by providing on-the-fly reconfiguration to accomodate the loss or malfunction of processing elements or to optimize onboard performance capability.

Citation Download Citation

Elena N. Bankowski, Christopher Miles, Michael S. Saboe, and Peggy Gilbert "Health monitoring and diagnostics of ground combat vehicles", Proc. SPIE 5049, Smart Structures and Materials 2003: Modeling, Signal Processing, and Control, (1 August 2003); https://doi.org/10.1117/12.482695

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