The purpose of this study is to present a non-disruptive form of detection into the existence of Potential Induced Degradation from monitoring data on a utility scaled PV power plant in Europe. Monitoring data is using to detect changes in performance, preliminary to any application of the more commonly utilized methods of lab testing. Promoting a reduction in downtime of affected strings and plant performance is desired. With the growth of the PV plants worldwide taking an increasingly bigger role in energy production from the yet limitless supply produced by the Sun, our attempt to utilize and redistribute this energy for storage in batteries and for everyday consumption, poses a direct challenge in itself. This takes the form of aging modules occurring naturally with time or prematurely from internal or external sources. Si (silicon) wafer technology dominates 90% of the market and has a guarantee and lifespan of 25yrs with expected degradation rates of .8% per year, the degradation phenomena is also experienced with these types of capture media and its systems of photovoltaics. Becoming more efficient and self reliant gives rise to unexpected occurrences, Potential Induced Degradation on large scale installations is a growing concern for owners and operators. Modules tend to degrade in various ways: from high humidity, back sheet degradation, sodium ions flowing incorrectly and escaping through the glass encapsulant resulting in a form of PID. The following site study has revealed that there is no significant impact from the analysed and detected strings at the PV plant. The aim of this paper will be a focus on one of the available and least expensive methods of PID detection with the least disruption to daily operations on a large scaled PV site; this method utilizes monitoring data to detect levels of losses and to attempt to produce early warning signs as seen in the data.