Fanwu Chu, Xiaolong Cui, and Zhaohui Li
Hydropower generating set, condition monitoring, data integration, information fusion, decision support system
Data is becoming a strategic resource in power system and many other ﬁelds. Extracting valuable information from massive monitoring data of hydropower generating set (HGS) becomes the key to evaluate its health condition and diagnose its faults. Therefore, an integration approach is proposed for making full use of states data. The present situation of states data generated by the integrated condition monitoring system (ICMS) is analysed ﬁrst. Then
a data integration model consisting of data layer, feature layer, and decision layer is built accordingly. The process of data integration in each layer is detailed in this paper. As states data is integrated layer by layer with the proposed approach, valuable information and
knowledge hidden in data can be obtained and they are helpful to assist users comprehensively analyse and diagnose faults. A fault case study is given at the last of this paper, with detailed analysis of information provided by this approach.