Patent №
US 6,539,337
Granted
2003-03-25
Filed 2000
Owner
ROCKWELL TECHNOLOGIES, LLC
Lab
—
AI components
3
ml · kr · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
09594648
An embedded real time diagnostic system that is applicable to fault detection and isolation in host systems having repetitive subsystems. A query directed acyclic graph (Q-DAG) for one of each type of repetitive subsystem is compiled off-line from a causal network model and is stored in host system computer memory. When a fault in the host system is detected by the computer, a replicating program replicates the necessary subsystem Q-DAGs to construct an overall host system Q-DAG. A data table which contains information on how the various Q-DAGs are linked based on the hardware architecture of the host system, is also accessed by the computer. The data table contains a matrix which dictates which Q-DAGs are linked, and Q-DAG level information on the Q-DAG nodes and which nodes are linked to nodes in other Q-DAGs. The new diagnostic system uses less memory and processor throughput while still providing full system diagnostics.
AI classification
Ownership
ROCKWELL TECHNOLOGIES, LLC
assignment · 108760636
Assignors
PROVAN, GREGORY
On an employer assignment, the assignors are typically the inventors.