engleski

Complex Data Analysis in Condition Based Maintenance

The article describes numerical techniques used for translating quantitative data collected by power distribution system's measuring equipment in to a qualitative domain. Plausible qualitative degrees are essential in process of assessing condition state of power distribution system. Entire aggregation process is based on evidential reasoning algorithm and it relays upon accuracy of the qualitative degrees. Special effort must be engaged in the translation process to ensure data integrity. Techniques for quantitative to qualitative conversion of data are proposed. Condition based maintenance of power distribution system can be performed after successful translation process and object decomposition based on Dampster-Shaffer theory. The major obstacle is one – to – many correspondences of real-time measurement data and object condition based decomposition. Results for quantitative to qualitative data conversion and corresponding aggregation processes are presented.

Quantitative and qualitative data analy; Condition based maintenance; Evidential reasoning

nije evidentirano