Title :
How do you know what you don’t know?
Author_Institution :
Performance Assessment Group, Exelon Energy Delivery, Oakbrook Terrace, IL, USA
Abstract :
The absence of adverse performance trends or reported events does not necessarily indicate error-free performance. Low event rates or long duration intervals between significant events may actually be an indicator of performance issues coupled with lack of reporting of precursor level behaviors. It may be possible to identify “hidden trends” by comparing common causes from self-revealing events against those from observation and precursor level data.
Keywords :
Aggregates; Anthropometry; Clocks; Condition monitoring; Data mining; Event detection; Frequency measurement; Humans; Quality management; Time measurement;
Conference_Titel :
Human Factors and Power Plants and HPRCT 13th Annual Meeting, 2007 IEEE 8th
Conference_Location :
Monterey, CA, USA
Print_ISBN :
978-1-4244-0306-6
Electronic_ISBN :
978-1-4244-0306-6
DOI :
10.1109/HFPP.2007.4413175