When transformer manufacturers met Ronin

Recently we had the pleasure of doing business with Tamini Transformatori SRL, Italy. Tamini is a leading design and production company for power, industrial, and other special transformers in Italy. Their industrial transformers are highly in-demand within the mineral (i.e. aluminum, steel, mining etc) processing sector. Since 2014, they are under the management of Terna Group, which is the Italian Electricity Transmission Grid Operator. Till date Tamini have supplied a record breaking 9000+ transformers so far globally, including remote locations in scandanavia.

So the obvious question is, why does a manufacturer needs transformer health indexing services?

Defining transformer needs

From a manufacturing point of view, it is imperative to ensure high quality technical assistance and reliable transformer life cycle assessment. In this context, one of major challenges is the management of various condition-monitoring data that is collected because of multidimensional testing. Removing redundancy and clustering of this data into an appropriate set that can be useful for prompt decision making is very challenging for humans. Such actions can risk in overshooting of project/task completion deadlines and increase overhead expenses.

Benefits of transformer health indexing

Transformer health indexing strategies can allow clustering of assets within a fleet and rank them in order of intervention priority. A health indexing strategy can allow rapid conversion of transformer data in to useful remarks that accelerate decision making. These remarks are often a well-defined numerical score with detailed description of potential risks and recommendations to avoid abrupt outages.

Ronin meets the eye of manufacturers

As mentioned before, the bulls’ eye is data management. Ronin is an online cloud based tool for rapid indexing of transformers in a fleet. It uses a unique self-stacked and scientifically verified machine learning algorithm for this purpose. Ronin provides a competitive edge over the traditional root causes analysis and manual health indexing software in terms of cost, time, quality, and input requirements.

Manufacturers can use such strategies for better completion of their asset management tasks with major budget saving on time and cost of operations. They can use such strategies to redefine the technical and economical parameters of their asset management actions with greater transparency. Conversely, this will improve their market performance, client satisfaction, and overall business expansion.

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