tud_gulski_a1_the netherlands_author_alpha6_block 3 barcelona 12-15 may 2003 1 datamining for...

1TUD_Gulski_A1_The Netherlands_author_ALPHA6_Block 3

Barcelona 12-15 May 2003

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



FailureProbability

Asset Aging Over-voltageProbability

ConditionAssessment

Type of DefectLocation of

Defect

Different categories of technical information to support AM decisions



Positioning of diagnostics and condition assessment in the AM processing of

technical information on component level Equipment Inventory

Failure cases

Spare parts and equipment

Diagnostics

Maintenance

Ageing Models

Reliability evaluation

Maintenance rules

1:Maintenance and diagnostic evaluation, scenario search and evaluation of usability

Replace

Run to Failure

Refurbish

CBM/ TBM/ CM

M/ D modification

As Before

Monitoring

Scenarios



AM Decision Support System:power cables

Cable construction effects: insulation types, defect types

Operational effects:electrical, thermal, mechanical stresses

DIAGNOSTICS

detection of insulation & construction

defects

DATABASES & DATAMINING

service based knowledge rules

AM Decision Support System

CONDITION ASSESMENT

Cable construction effects: insulation types, defect types

Operational effects:electrical, thermal, mechanical stresses

DIAGNOSTICS

detection of insulation & construction

defects

DATABASES & DATAMINING

service based knowledge rules

AM Decision Support System

CONDITION ASSESMENT



Evaluation of different PD diagnostics for distribution power cables

0

1

2

3

4

51

2

3

4

5

6AC 50/60 Hz

AC 15-300 Hz

VLF 0.1 Hz

DAC 50-500 Hz

Voltage type

Non-destructiveness

IEC 60270 conformity

SensitivityAnalysis

Efficiency



Oscillating Wave Test System in the field

HV supply / computer

Coil / HV Switch / PD detection circuit


Barcelona 12-15 May 2003Partial discharge occurrence during DAC voltages



PD mapping and database protocol made

automatically after the 3 phase of the distribution

power cable are tested



61%

29%

2%8%

16%

33%

51%

0%

20%

40%

60%

80%

100%

PD presence PD location

PD activiy PILC

PD at U0 PD at 1.3*U0 PD at Higher VoltagesUnknown Results PD Source in Cable Insulation PD Source in TerminationPD Source in Joint

4 years experiences



45%

18%

27%

9%

83%

17%

0%

20%

40%

60%

80%

100%

PD presence PD location

PD activiy XLPE

PD free PD at U0 PD at 1.3*U0

PD at Higher Voltages PD Source in Termination PD Source in Joint

2 years experiences



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



data-mining process for condition-based maintenance of HV assets, e.g. power cables

Data-mining

approach

Componentdata

Failuredata

Conditiondata

ConditionBasedMaintenanceActivities

Knowledgerules

Norms &criteria

Data

sourc

es

(A)

(B)

(C)



diagnostics database

Norms

Cable Data

Measurement Types

Definition of Measurement

Types

MeasurementData

Input of Measurement

Data

Analysis of Measurement

and Cable Data / Norms

Definition of Cable Structure



PILC database population of two different type of cable

splices( a )

( b )


Barcelona 12-15 May 2003 Remaining Life-time

Cable Insulation degradation

0

5

10

15

20

25

30

35

0 5 10 15 20 25 30Time [years]

Rem

aini

ng li

fetim

e

Defect

Normal

Future load

Tota

l A

s set

Con

dit

ion

Asset Service Life



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

tud_gulski_a1_the netherlands_author_alpha6_block 3 barcelona 12-15 may 2003 1 datamining for...

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