A method of classifying machine alarms produced by a machine monitoring system may include: Collecting a plurality of machine alarms from the machine monitoring system, the machine alarms being indicative of out-of-range machine system parameters; collecting a plurality of alarm annotations associated with at least some of the machine alarms; grouping the plurality of machine alarms by criticality; determining a strength of alarm annotations; and developing an alarm classification policy for machine alarms based at least on the criticality of the alarms and the strength of the alarm annotations.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method of classifying machine alarms produced by a machine monitoring system, comprising: collecting a plurality of machine alarms from the machine monitoring system, the machine alarms being indicative of out-of-range machine system parameters of the machine; collecting a plurality of alarm annotations associated with at least some of the machine alarms; grouping the plurality of machine alarms by criticality; determining a strength of alarm annotations; and developing an alarm classification policy for machine alarms based at least on the criticality of the alarms and the strength of the alarm annotations. 2. The method of claim 1, wherein said grouping comprises subjecting the collected machine alarms to a k-means clustering algorithm. 3. The method of claim 1, wherein said alarm annotations comprise text annotations and wherein said determining comprises assigning a sentiment score to the collected alarm annotations based on the text of the alarm annotations. 4. The method of claim 3, wherein said assigning a sentiment score to the collected alarm annotations comprises assigning a high sentiment score to alarm annotations deemed to be of a significant strength and assigning a low sentiment score to alarm annotations deemed to be of a weak strength. 5. The method of claim 3, further comprising subjecting the text of the alarm annotations to a word cloud analysis algorithm to determine the frequencies of words used in the alarm annotations, and using the word cloud analysis to refine the sentiment score. 6. The method of claim 1, further comprising performing a word cloud analysis on the alarm annotations and wherein said classifying further comprises classifying the plurality of machine alarms based on the criticality of the alarms, the strength of the alarm annotations, and the word cloud analysis. 7. The method of claim 1, wherein said developing the alarm classification policy comprises developing an alarm classification policy having five alarm condition categories. 8. The method of claim 7, wherein said developing an alarm classification policy having five alarm condition categories comprises developing an alarm classification policy having a ‘critical’ category, a ‘warning’ category, an ‘operational induced’ category, a ‘schedule maintenance’ category, and an ‘informational’ category. 9. A non-transitory computer-readable storage medium having computer-executable instructions embodied thereon that, when executed by at least one computer processor cause the processor to: collect a plurality of machine alarms from the machine monitoring system, the machine alarms being indicative of out-of-range machine system parameters of the machine; collect a plurality of alarm annotations associated with at least some of the machine alarms; group the plurality of machine alarms by criticality; determine a strength of alarm annotations; and develop an alarm classification policy for machine alarms based at least on the criticality of the alarms and the strength of the alarm annotations. 10. A method of operating a machine having a machine monitoring system that produces machine alarms indicative of out-of-range machine system parameters, comprising: receiving machine alarms from the machine monitoring system; classifying the machine alarms based on a predetermined alarm classification policy for the machine, the predetermined alarm classification policy being based on criticality of representative samples of machine alarms and strength of representative samples of alarm annotations; and managing the subsequent operation of the machine based on the reclassified machine alarms. 11. A system for classifying machine alarms produced by a machine monitoring system, comprising: a network; a machine monitoring system operatively connected to said network; a processing system operatively associated with said network; and a display system operatively associated with said processing system, wherein said processing system is configured to: receive machine alarms from the machine monitoring system, the machine alarms being indicative of out-of-range machine system parameters of the machine; classify the machine alarms based on a predetermined alarm classification policy, the predetermined alarm classification policy being based on criticality of representative samples of machine alarms and strength of representative samples of alarm annotations; and display the classified machine alarms on the display system. 12. A non-transitory computer-readable storage medium having computer-executable instructions embodied thereon that, when executed by at least one computer processor cause the processor to: receive machine alarms from a machine monitoring system, the machine alarms being indicative of out-of-range machine system parameters of a machine; classify the machine alarms based on a predetermined alarm classification policy, the predetermined alarm classification policy being based on criticality of representative samples of machine alarms and strength of representative samples of alarm annotations; and display the classified machine alarms on the display system.