【文件属性】：
文件名称：DADICC: Intelligent system for anomaly detection in a combined
文件大小：2.14MB
文件格式：PDF
更新时间：2013-05-11 16:04:25
DADICC is the abbreviated name
In order to reach this objective, a modelling
process is required for the characterization of the normal performance when any symptom of a possible fault is present. This will be the
reference for early detection of possible anomalies. If a deviation in respect to the normal behaviour predicted is observed, an analysis of
its causes is performed in order to diagnose the potential problem, and, if possible, its prevention. A multi-agent system supports the
different roles required in DADICC. The detection of anomalies is based on agents that use models elaborated using mainly neural networks
techniques. The diagnosis of the anomalies is prepared by agents based on an expert-system structure. This paper describes the
main characteristics of DADICC and its operation.