EMBEDDED DIAGNOSTIC SYSTEM AND METHOD

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

Knowledge representation0.99
AI hardware0.98
Machine learning0.97
Planning0.26
Evolutionary computation0.17
Vision0.00
Natural language0.00
Speech0.00

Ownership

ROCKWELL TECHNOLOGIES, LLC

assignment · 108760636

Assignors

PROVAN, GREGORY

On an employer assignment, the assignors are typically the inventors.

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