Power transformers are among the most valuable and important assets in electrical power networks and moisture is one of the key factors impacting the operational performance of transformer oil.  Traditionally, the moisture content of oil has been determined using laboratory analysis of oil samples, but on-line monitoring is becoming increasingly popular. This is due to the fact that it provides real-time data that enables early fault detection, allowing the operator to take timely corrective actions before  a problem can escalate.
 In this study we examined water diffusion in stagnant oil in order to predict the increase in moisture sensor response time due to unfavorable choice of installation location. We also discuss where is the optimal location for moisture sensor so that measurement is representative of the oil condition within the transformer. 

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