An expert system approach for transformer insulation diagnosis combining conventional diagnostic tests and PDC, RVM data

Search for a reliable and efficient insulation diagnostic tool has always been the interest of power utilities. Today a large number of methods are available that can be used for insulation condition monitoring. These methods include both traditional and newer techniques. However due to complex agin...

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Published in:IEEE transactions on dielectrics and electrical insulation 2014-04, Vol.21 (2), p.882-891
Main Authors: Sarkar, S., Sharma, T., Baral, A., Chatterjee, B., Dey, D., Chakravorti, S.
Format: Article
Language:English
Subjects:
central time constant (CTC)
depolarization current
Dielectric measurement
expert system (ES)
Expert systems
Insulation diagnosis
Maintenance management
Mathematical model
Moisture
Oil insulation
oil moisture content
paper moisture content
polarization current
Power transformer insulation
return voltage measurement (RVM)
tan delta
Temperature measurement
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cited_by cdi_FETCH-LOGICAL-c291t-2dc093e6b04f3e3571e8b409ebc5e01683054157f24cbccc8939283fb014454a3
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container_title IEEE transactions on dielectrics and electrical insulation
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creator Sarkar, S.
Sharma, T.
Baral, A.
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Dey, D.
Chakravorti, S.
description Search for a reliable and efficient insulation diagnostic tool has always been the interest of power utilities. Today a large number of methods are available that can be used for insulation condition monitoring. These methods include both traditional and newer techniques. However due to complex aging process of oil paper insulation under the influence of different types of stresses, insulation condition assessment is generally performed by experts after carefully evaluating different measurement data. Furthermore, measurement data are influenced by various factors (like conductive aging byproducts, furanic compounds, paper and oil-moisture) in addition to measurement error (if any). This makes prediction of insulation condition based on single type of measurement rather difficult. This paper presents an Expert System designed to perform insulation diagnosis. The Expert System considers measurement data obtained using both traditional and newer techniques in order to come to a definitive conclusion. The Expert System extracts insulation condition sensitive information from data obtained using different techniques and then uses these to devise an optimized insulation model. This optimized model is used to predict paper-moisture content and other insulation condition sensitive parameters. Since these values are predicted using optimized model, they are not dependent on a single type of measurement and hence are less likely to be affected by error of any specific measurement. The performance of the developed Expert System is first tested on a laboratory sample and then on several real life power transformers belonging to NTPC Ltd.
doi_str_mv 10.1109/TDEI.2013.004052
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source IEEE Electronic Library (IEL) Journals
subjects central time constant (CTC)
depolarization current
Dielectric measurement
expert system (ES)
Expert systems
Insulation diagnosis
Maintenance management
Mathematical model
Moisture
Oil insulation
oil moisture content
paper moisture content
polarization current
Power transformer insulation
return voltage measurement (RVM)
tan delta
Temperature measurement
title An expert system approach for transformer insulation diagnosis combining conventional diagnostic tests and PDC, RVM data
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