DISTRIBUTED FAULT DIAGNOSIS

• US 20100222897A1
• Filed: 03/02/2009
• Published: 09/02/2010
• Est. Priority Date: 03/02/2009
• Status: Abandoned Application

• Current Assignee: University of Connecticut (State of Connecticut), Toyota Motor Engineering & Manufacturing North America Incorporated (Toyota Motor Corporation)
• Original Assignee: University of Connecticut (State of Connecticut), Toyota Motor Engineering & Manufacturing North America Incorporated (Toyota Motor Corporation)
• Inventors: Namburu, Setu Madhavi, Pattipati, Krishna, Prokhorov, Danil V., Qiao, Liu
• Application Number:
  US12/396,176
• Publication Number:
  US 20100222897A1
• Time in Patent Office: Days
• US Class Current: 700/21
• CPC Class Codes: G05B 23/0224 Process history based detection method, e.g. whereby history implies the availability of large amounts of data

Abstract

A distributed diagnosis algorithm based on a multi-signal digraph model of an overall system is provided. In addition, a model enables the generation of a fault-test dependency matrix (D-matrix), which summarizes the detection capabilities of tests designed for faults associated with each node. Each row represents a fault state and each column represents a test.

Claims

1. A system for real-time distributed diagnosis of a plant having a plurality of subsystems, each of the plurality of subsystems having one or more components that participate in the operation of the plant by performing one or more plant operations and one or more sensors that detect the one or more plant operations and transmit data related to a detected plant operation, said system comprising:

an agent-based plant diagnostic network having a plurality of subsystem resident agents, each of said plurality of subsystem resident agents assigned to one of the plurality of subsystems and operable to run a test on one or more of the components of the assigned subsystem and provide an outcome of said test;

a plurality of diagnostic inference algorithms, each of said plurality of diagnostic inference algorithms assigned to one of said plurality of subsystem resident agents and operable to monitor and assign a fault state to said outcome of said test run by said assigned subsystem resident agent.

2. The system of claim 1, wherein said fault state assigned to said outcome by said diagnostic inference algorithm is selected from the group consisting of good, bad, suspect and unknown.

3. The system of claim 1, wherein each of said plurality of subsystem resident agents is operable to receive said data related to the detected plant operation from the one or more sensors and transmit said data to a plant expert agent.

4. The system of claim 1, wherein each of said plurality of subsystem resident agents is operable to transmit said fault state to a plant expert agent.

5. The system of claim 1, further comprising a multi-signal digraph model of the plant.

6. The system of claim 5, wherein said diagnostic inference algorithm is a function of said multi-signal digraph model.

7. The system of claim 1, wherein each of said plurality of diagnostic inference algorithms is assigned to a different subsystem resident agent of said plurality of subsystem resident agents.

8. The system of claim 7, wherein said diagnostic inference algorithms decompose a problem with the plant into domain specific subsystem models.

9. A plant having real-time distributed diagnostic capabilities, said plant comprising:

a plurality of subsystems, said plurality of subsystems constituting at least part of said plant;

each of said plurality of subsystems having at least one component that is operable to perform one or more predefined plant operations and at least one sensor that is operable to detect at least one of said one or more predefined plant operations performed by said at least one component, said at least one sensor also operable to transmit data related to said detected plant operation;

a plurality of distributed diagnostic algorithms, each of said plurality of distributed diagnostic algorithms assigned to at least one of said plurality of subsystems and operable to receive said data from said at least one sensor from said assigned subsystem and assign a fault state to said data thereby resulting in said fault state being assigned to said at least one component.

10. The plant of claim 9, further comprising a plurality of subsystem resident agents, each of said plurality of subsystem resident agents assigned to at least one of said plurality of subsystems and operable to receive said data from said at least one sensor of said at least one subsystem.

11. The plant of claim 10, wherein each of said plurality of distributed diagnostic algorithms is embedded within a subsystem resident agent of said plurality of subsystem resident agents.

12. The plant of claim 11, wherein each of said plurality of distributed diagnostic algorithms is embedded within a different subsystem resident agent.

13. The system of claim 9, wherein said fault state assigned to said outcome by said diagnostic inference algorithm is selected from the group consisting of good, bad, suspect and unknown.

14. The system of claim 9, wherein each of said plurality of subsystem resident agents is operable to transmit said fault state to a plant expert agent.

15. The system of claim 9, further comprising a multi-signal digraph model of the plant.

16. The system of claim 15, wherein each of said plurality of diagnostic inference algorithms is a function of said multi-signal digraph model.

17. A process for providing real-time distributed diagnosis to a plant, the process comprising:

providing a plant having a plurality of subsystems, the plurality of subsystems constituting at least part of the plant;

each of the plurality of subsystems having at least one component that is operable to perform one or more predefined plant operations and at least one sensor that is operable to detect at least one of the one or more predefined plant operations performed by the at least one component, the at least one sensor also operable to transmit data related to the detected plant operation;

providing an agent-based plant diagnostic network having a plurality of subsystem resident agents;

each of the plurality of subsystem resident agents assigned to one of the plurality of subsystems and operable to run a test on one or more of the components of the assigned subsystem and provide an outcome of the test;

providing a plurality of distributed diagnostic algorithms;

each of the plurality of diagnostic inference algorithms assigned to one of the plurality of subsystem resident agents and operable to monitor and assign a fault state to the outcome of the test run by the assigned subsystem resident agent;

operating the plant whereby the at least one component in at least part of the plurality of subsystems performs one or more predefined plant operations and at least part of the plurality of diagnostic inference algorithms assigns a fault state to the components performing predefined plant operations.

18. The process of claim 17, wherein at least part of the plurality of diagnostic inference algorithms iteratively assigns a fault state to the components performing predefined plant operations.

19. The process of claim 18, wherein the subsystem resident agents communicate the assigned fault states with neighboring subsystem resident agents.

20. The process of claim 19, wherein communicating the assigned fault states with neighboring subsystem resident agents decomposes the diagnosis of a problem for the plant into domain specific subsystem models.