Ym. Sebzalli et al., Knowledge discovery from process operational data for assessment and monitoring of operator's performance, COMPUT CH E, 24(2-7), 2000, pp. 409-414
This contribution describes a knowledge discovery system that can be integr
ated with a modern computer control environment to continuously and automat
ically capture, characterise and assess the skills and behaviour of operati
onal personnel. The system is developed and tested based on a joint simulat
ion framework of human-process interactions. The operator's performance is
modelled using a knowledge-based system, which is a collection of rules rep
resenting operator's perception and interpretation of on-line signals as we
ll as subsequent planning and sequence of actions. The process behaviour is
represented by dynamic simulators. An important component of the knowledge
discovery system is a clustered fuzzy digraph that can be used to qualitat
ively/quantitatively simulate the temporal behaviour of joint human-process
interactions. A case study is also given which demonstrates the feasibilit
y of assessing operator's performance through analysis of operational data.
(C) 2000 Elsevier Science Ltd. All rights reserved.