Semantic Analysis of Alarm Response Entries for Plant Health Monitoring
Abstract »In most health monitoring systems, there is always a final step in the process that involves the human response, and in many cases the engineer may decide that it is a false alarm. While everything is done to eliminate false alarms, understanding why the human has decided to ignore an alarm is imperative, and what that means for improving the performance of the alarming sensors.
Here we deconstruct the manual reporting log of alarm responses for an in-situ health monitoring system for a series of identical plant equipment in a power station, by applying regular expressions to categorise the response. We can show how often certain types of event occur, but also compare the data at times when a user changed the alarm limits manually to see what was happening in the sensor array.
Biography: Studied Electronic and Electrical Engineering at Imperial Collage London; Thermal and Optical Camera Engineer for QinetiQ; PhD on Modelling Human Visual Search, Department of Experimental Psychology, University of Bristol; Signal Processing for helicopter and power generating plant health monitoring at the University of Bristol, Aeronautical Engineering, ion conjunction with CMG. http://www.bristol.ac.uk/engineering/departments/aerospace/people/matthew-f-asher
Affiliation: University of Bristol Aerospace Engineering BS8 1TH Bristol United Kingdom 07734057609 www.bristol.ac.ukHutchinson, PaulHutchinson, Paul email@example.com
Affiliation: Beran Instruments EX38 7HP Torrington United Kingdom