{"id":2172,"date":"2022-10-17T13:58:27","date_gmt":"2022-10-17T13:58:27","guid":{"rendered":"https:\/\/exceltic.com\/?p=2172"},"modified":"2026-03-19T13:31:19","modified_gmt":"2026-03-19T12:31:19","slug":"rams-big-data-ia-energy-sector","status":"publish","type":"post","link":"https:\/\/exceltic.serquo.com\/en\/rams-big-data-ia-energy-sector\/","title":{"rendered":"RAMS, Big Data and AI in the Energy Sector"},"content":{"rendered":"

RAMS is the acronym<\/strong> from the English translation: reliability, availability, maintainability and safety. It is used for assess the non-functional quality of a system<\/strong>.<\/p>\n\n\n\n

The complexity of railway systems and society's increased expectations regarding the level of risk accepted have been reflected in the need for further action<\/strong> to ensure, in the first place, the Safety<\/strong>, of both people and infrastructure.<\/p>\n\n\n\n

A bit of history...<\/p>\n\n\n\n

RAMS was used for the first time <\/strong>in the aeronautical industry. Subsequently, it began to be used in the transport industry, in particular in the automotive and railway industries. Since then, it has continued to be used in many other industries.<\/p>\n\n\n\n

The RAMS of a system can be described as a indicator<\/a><\/strong> qualitative and quantitative confidence of a system<\/strong>, or the subsystems that make it up. An analysis is carried out with the objective of ensuring that the systems operate safely and with high availability. These analyses consist of determining the failure and operational rates available during the complete life cycle of the project.<\/p>\n\n\n\n

In most projects, the evaluation<\/strong> system only includes reliability, availability and maintainability (RAM<\/a>). However, safety (S) must be fully integrated into the assessment. <\/p>\n\n\n\n

In critical systems, from a security or availability point of view, trust is the most important property of a system<\/strong>, as it implies that such a system will not fail in normal operation. This concept can therefore be extrapolated to any industry.<\/p>\n\n\n\n

The contribution of RAMS analysis to technological developments has grown exponentially, offering methodological innovations<\/strong> which have contributed to providing solutions on multiple axes (human, industrial, etc.).<\/p>\n\n\n\n

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Research and Development has also grown this term<\/strong>There have been more than a few publications <\/a>that show the way to apply RAMS studies towards new types of products, services and applications under various conditions.<\/p>\n\n\n\n

At this point, it is important to remember that there is no universal method for such analyses. We advance new methods based on statistical data on the components and<\/strong> using mathematical models<\/strong> to synthesise reliability.<\/p>\n\n\n\n

In this context, RAMS faces new challenges<\/strong> and technology, due to the complexity and non-linearity of the systems and processes for which our team is preparing.<\/p>\n\n\n\n

Application in the Energy Sector<\/p>\n\n\n\n

The extrapolation of this RAMS methodology to the electricity distribution sector<\/strong>, is not yet widespread. By studying the needs of our clients we can highlight among these challenges:<\/p>\n\n\n\n