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Gregory M Provan

from Newbury Park, CA
Age ~63

Gregory Provan Phones & Addresses

  • 3860 Northland St, Newbury Park, CA 91320
  • Thousand Oaks, CA
  • Philadelphia, PA
  • Palo Alto, CA
  • Menlo Park, CA
  • Austin, TX

Publications

Us Patents

Embedded Diagnostic System And Method

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US Patent:
6539337, Mar 25, 2003
Filed:
Jun 15, 2000
Appl. No.:
09/594648
Inventors:
Gregory Provan - Newbury Park CA
Adnan Darwiche - Los Angeles CA
Assignee:
Innovative Technology Licensing, LLC - Thousand Oaks CA
International Classification:
G06F 1108
US Classification:
702183, 714 30
Abstract:
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.

Distributed Maintenance System Based On Causal Networks

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US Patent:
62089552, Mar 27, 2001
Filed:
Jun 12, 1998
Appl. No.:
9/097206
Inventors:
Gregory M. Provan - Newbury Park CA
Charles J. Sitter - Robins IA
Assignee:
Rockwell Science Center, LLC - Thousand Oaks CA
International Classification:
G06F9/45
US Classification:
703 20
Abstract:
The present invention relates to a diagnostic system for complex systems such as avionics systems. The diagnostic system acquires a description of the system from a variety of design tools and creates a causal network model as an intermediate step. From the causal network model, the diagnostic system builds and compiles a Q-DAG model of the system, which is then embedded in the central maintenance computer of the aircraft. The present invention integrates two elements, a graphical user interface (GUI), which acts as a data capture tool and graphical display of the avionics system and an inference system, which acts as a diagnostic tool with a presenter. The presenter permits diagnosis of faulty sub-systems and a report may be relayed to remotely located maintenance crews to minimize repair time upon arrival of the aircraft.
Gregory M Provan from Newbury Park, CA, age ~63 Get Report