1. TUD_Gulski_A1_The Netherlands_author_ALPHA6_Block 3 Barcelona 12-15 May 2003 1 DATAMINING FOR DECISION SUPPORT OF CBM OF POWER CABLES E. GULSKI (1), F.J. WESTER (1), B. QUAK (1), J.J. SMIT (1), F.de VRIES (2), M.B. MAYORAL (3) (1) Delft University of Technology – The Netherlands (2) Nuon InfraCore – The Netherlands (3) Universidad Politecnica de Madrid – Spain

2. TUD_Gulski_A1_The Netherlands_author_ALPHA6_Block 3 Barcelona 12-15 May 2003 2 Different categories of technical information to support AM decisions

3. TUD_Gulski_A1_The Netherlands_author_ALPHA6_Block 3 Barcelona 12-15 May 2003 3 Positioning of diagnostics and condition assessment in the AM processing of technical information on component level

4. TUD_Gulski_A1_The Netherlands_author_ALPHA6_Block 3 Barcelona 12-15 May 2003 4 AM Decision Support System:power cables

5. TUD_Gulski_A1_The Netherlands_author_ALPHA6_Block 3 Barcelona 12-15 May 2003 5 Evaluation of different PD diagnostics for distribution power cables Voltage type Non-destructiveness IEC 60270 conformity Sensitivity Analysis Efficiency

6. TUD_Gulski_A1_The Netherlands_author_ALPHA6_Block 3 Barcelona 12-15 May 2003 6 Oscillating Wave Test System in the field HV supply / computer Coil / HV Switch / PD detection circuit

7. TUD_Gulski_A1_The Netherlands_author_ALPHA6_Block 3 Barcelona 12-15 May 2003 7 Partial discharge occurrence during DAC voltages

8. TUD_Gulski_A1_The Netherlands_author_ALPHA6_Block 3 Barcelona 12-15 May 2003 8 PD mapping and database protocol made automatically after the 3 phase of the distribution power cable are tested

9. TUD_Gulski_A1_The Netherlands_author_ALPHA6_Block 3 Barcelona 12-15 May 2003 9 4 years experiences

10. TUD_Gulski_A1_The Netherlands_author_ALPHA6_Block 3 Barcelona 12-15 May 2003 10 2 years experiences

11. TUD_Gulski_A1_The Netherlands_author_ALPHA6_Block 3 Barcelona 12-15 May 2003 11 Datamining; four characteristics Is based on an earlier stages of data selection, data transformation, stages of validation and interpretation Is based on finding intelligible patterns which are not predicted by established theory It formats the output data in a visual form that human intelligence can interpret easily It is an alternative to the traditional scientific method, where data analysis is largely directed by hypothesis and theory I II III IV

12. TUD_Gulski_A1_The Netherlands_author_ALPHA6_Block 3 Barcelona 12-15 May 2003 12 data-mining process for condition-based maintenance of HV assets, e.g. power cables

13. TUD_Gulski_A1_The Netherlands_author_ALPHA6_Block 3 Barcelona 12-15 May 2003 13 diagnostics database

14. TUD_Gulski_A1_The Netherlands_author_ALPHA6_Block 3 Barcelona 12-15 May 2003 14

15. TUD_Gulski_A1_The Netherlands_author_ALPHA6_Block 3 Barcelona 12-15 May 2003 15 PILC database population of two different type of cable splices

16. TUD_Gulski_A1_The Netherlands_author_ALPHA6_Block 3 Barcelona 12-15 May 2003 16

17. TUD_Gulski_A1_The Netherlands_author_ALPHA6_Block 3 Barcelona 12-15 May 2003 17 Remaining Life-time Defect Normal Future load Total Asset Condition Asset Service Life

18. TUD_Gulski_A1_The Netherlands_author_ALPHA6_Block 3 Barcelona 12-15 May 2003 18 Condition assessment is an important element of Asset Management maintenance approach and means combination of advanced diagnostics and technical information of the actual network situation With regard to distribution power cables, PD detection is a good method to get insight into discharging insulation defects. Selecting proper advanced PD diagnosis e.g. at DAC voltages needs evaluation of technical and economical aspects. To use diagnostic information for AM decision support standardized database protocols are necessary. Database support in combination with datamining is important elements in obtaining relevant information for condition assessment of assets e.g. powers cables. Based on this information, decisions can be made about levels for updating or maintenance. When these levels are applied on the database as norm levels, components are easily selected for inspection, maintenance or replacement actions. Conclusions