TY - GEN
T1 - Condition data aggregation with application to failure rate calculation of power transformers
AU - Pathak, Jyotishman
AU - Jiang, Yong
AU - Honavar, Vasant
AU - McCalley, James
PY - 2006
Y1 - 2006
N2 - Cost-effective equipment maintenance for electric power transmission systems requires ongoing integration of information from multiple, highly distributed, and heterogeneous data sources storing various information about equipment. This paper describes a federated, query-centric data integration and knowledge acquisition framework for condition monitoring and failure rate prediction of power transformers. Specifically, the system uses substation equipment condition data collected from distributed data resources, some of which may be local to the substation, to develop Hidden Markov Models (HMMs) which transform the condition data into failure probabilities. These probabilities provide the most current knowledge of equipment deterioration, which can be used in system-level simulation and decision tools. The system is illustrated using dissolved gas-in-oil field data for assessing the deterioration level of power transformer insulating oil.
AB - Cost-effective equipment maintenance for electric power transmission systems requires ongoing integration of information from multiple, highly distributed, and heterogeneous data sources storing various information about equipment. This paper describes a federated, query-centric data integration and knowledge acquisition framework for condition monitoring and failure rate prediction of power transformers. Specifically, the system uses substation equipment condition data collected from distributed data resources, some of which may be local to the substation, to develop Hidden Markov Models (HMMs) which transform the condition data into failure probabilities. These probabilities provide the most current knowledge of equipment deterioration, which can be used in system-level simulation and decision tools. The system is illustrated using dissolved gas-in-oil field data for assessing the deterioration level of power transformer insulating oil.
KW - Data Integration
KW - Hidden Markov Models
KW - Transformer Failure Mode Estimation
UR - http://www.scopus.com/inward/record.url?scp=33749608449&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33749608449&partnerID=8YFLogxK
U2 - 10.1109/HICSS.2006.93
DO - 10.1109/HICSS.2006.93
M3 - Conference contribution
AN - SCOPUS:33749608449
SN - 0769525075
SN - 9780769525075
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 241a
BT - Proceedings of the 39th Annual Hawaii International Conference on System Sciences, HICSS'06
T2 - 39th Annual Hawaii International Conference on System Sciences, HICSS'06
Y2 - 4 January 2006 through 7 January 2006
ER -