Method, monitoring system and computer program product for monitoring the health of a monitored system utilizing an associative memory

• US 8,843,347 B2
• Filed: 07/01/2011
• Issued: 09/23/2014
• Est. Priority Date: 07/01/2011
• Status: Active Grant

• Current Assignee: The Boeing Co.
• Original Assignee: The Boeing Co.
• Inventors: Safa-Bakhsh, Robab, Harris, Patrick Neal
• Primary Examiner(s): Breene, John
• Assistant Examiner(s): HWANG, TIMOTHY
• Application Number:
  US13/175,390
• Publication Number:
  US 20130073259A1
• Time in Patent Office: 1,180 Days
• Field of Search: 702/183
• US Class Current: 702/183
• CPC Class Codes: G05B 23/02 Electric testing or monitoring
• CPC Class Codes: G05B 23/0229 knowledge based, e.g. expert systems; genetic algorithms
• CPC Class Codes: G06F 16/2465 Query processing support for facilitating data mining operations in structured databases

Abstract

A monitoring system, method and computer program product are provided for monitoring the health of a monitored system. The monitoring system may include a receiver module to receive a plurality of sensor data relating to the monitored system and to receive textual data, such as free text, relating to the monitored system. The monitoring system may also include an associative memory to store and process the sensor data and the textual data and to establish associations between at least some of the sensor data and the textual data. Further, the monitoring system may include a dynamic change identification module to identify an instance in which the sensor data represents a dynamic change in condition and a correlation module to identify an instance in which textual data is associated with the sensor data proximate the dynamic change in condition so as to correlate the sensor data and the textual data.

Claims

1. A monitoring system for monitoring health of a monitored system, the monitoring system comprising:

a receiver module configured to receive a plurality of sensor data relating to the monitored system and to receive textual data relating to the monitored system;

an associative memory configured to store the sensor data, the textual data and associated time values and to establish associations between at least some of the sensor data and the textual data;

a dynamic change identification module configured to identify an instance in which the sensor data changes by at least a predefined amount within a time period less than a predefined temporal threshold so as to represent a dynamic change in condition; and

a correlation module configured to identify an instance in which textual data is associated with the sensor data proximate the dynamic change in condition so as to correlate the sensor data and the textual data, wherein the correlation module is configured to correlate the sensor data and the textual data by identifying an instance in which the time value associated with the textual data is within a predefined period of time from a time at which the sensor data experienced the dynamic change in condition.

2. A monitoring system according to claim 1 wherein the associative memory comprises a multi-level associative memory that is further configured to overlay the textual data onto the sensor data stored in the associative memory.

3. A monitoring system according to claim 1 wherein the receiver module is further configured to receive free text.

4. A monitoring system according to claim 1 further comprising an analysis module configured to analyze correlations between the sensor data and the textual data for a plurality of components of the monitored system.

5. A monitoring system according to claim 1 further comprising an analysis module configured to analyze correlations between the sensor data and the textual data for a common component across a plurality of monitored systems.

6. A monitoring system according to claim 1 further comprising a report generation module configured to cause a report to be generated of correlations between the sensor data and the textual data.

7. A method for monitoring health of a monitored system, the method comprising:

receiving a plurality of sensor data relating to the monitored system;

receiving textual data relating to the monitored system;

storing the sensor data and the textual data in an associative memory, wherein storing in the associative memory comprises establishing associations between at least some of the sensor data, the textual data and associated time values;

identifying, with a processor, an instance in which the sensor data changes by at least a predefined amount within a time period less than a predefined temporal threshold so as to represent a dynamic change in condition; and

identifying, with the processor, an instance in which textual data is associated with the sensor data proximate the dynamic change in condition so as to correlate the sensor data and the textual data by identifying an instance in which the time value associated with the textual data is within a predefined period of time from a time at which the sensor data experienced the dynamic change in condition.

8. A method according to claim 7 wherein storing the sensor data and the textual data in an associative memory comprises overlaying the textual data onto the sensor data stored in the associative memory.

9. A method according to claim 7 wherein receiving textual data comprises receiving free text.

10. A method according to claim 7 further comprising analyzing correlations between the sensor data and the textual data for a plurality of components of the monitored system.

11. A method according to claim 7 further comprising analyzing correlations between the sensor data and the textual data for a common component across a plurality of monitored systems.

12. A method according to claim 7 further comprising causing a report to be generated of correlations between the sensor data and the textual data.

13. A non-transitory computer-readable storage medium for monitoring health of a monitored system, the computer-readable storage medium having computer-readable program code portions stored therein that in response to execution by a processor cause an apparatus to:

receive a plurality of sensor data relating to the monitored system;

receive textual data relating to the monitored system;

store the sensor data and the textual data in an associative memory so as to establish associations between at least some of the sensor data, the textual data and associated time values;

identify an instance in which the sensor data changes by at least a predefined amount within a time period less than a predefined temporal threshold so as to represent a dynamic change in condition; and

identify an instance in which textual data is associated with the sensor data proximate the dynamic change in condition so as to correlate the sensor data and the textual data by identifying an instance in which the time value associated with the textual data is within a predefined period of time from a time at which the sensor data experienced the dynamic change in condition.

14. A computer-readable storage medium according to claim 13 wherein the apparatus being caused to store the sensor data and the textual data in an associative memory further includes being caused to overlay the textual data onto the sensor data stored in the associative memory.

15. A computer-readable storage medium according to claim 13 wherein the apparatus being caused to receive textual data further includes being caused to receive free text.

16. A computer-readable storage medium according to claim 13 wherein the computer-readable program code portions, in response to execution by the processor, further cause the apparatus to analyze correlations between the sensor data and the textual data for a plurality of components of the monitored system.

17. A computer-readable storage medium according to claim 13 wherein the computer-readable program code portions, in response to execution by the processor, further cause the apparatus to analyze correlations between the sensor data and the textual data for a common component across a plurality of monitored systems.