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

摘要

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.

主权项

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.