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A combination of approaches allows data related to each transformer to be classified into one of several predefined classifications or states: normal, monitor, service, stable, replace and risk identified.

Tom Rhodes

Tom Rhodes graduated from the Upper Iowa University with a BS in professional chemistry. He had over 30 years of data analysis for asset management of industrial systems. Tom worked as Implementer/Project Leader at CHAMPS Software implementing new CMMS/asset management technology, and held titles of Sr. Science and Lab Services Specialist, Scientist, and Lead Engineering Technologist at Duke Energy. He was an author and regular presenter at Doble, IEEE, Distributec, and ARC conferences on oil analysis and asset management.