The digital transformation
The maintenance activities that allow to keep a device in operational conditions (nuclear power plant, transport system, wind farm...) are part of the most important expenses for the industrialists.
Seres-Technologies, whose core competencies include operational safety, is conducting research activities on two major themes that will enable its customers to control their investments ("asset management"):
Modeling project for an energy production system
In a power plant, whether solar, nuclear or wind, the profitability of the production is highly dependent on the availability of the equipment, and therefore on its reliability, as well as on the speed with which maintenance activities can be carried out (repair time, availability of resources and tools, spare parts, etc.)
Seres-Technologies is working on a model of this type of installation, in order to be able to advise its customers on the best way to invest and make their installations profitable.
Predictive maintenance project
Big Data, machine-learning, data-sciences, behind these buzz-words, how can the business of operational safety and particularly that of failure prediction be assisted today by powerful and promising but complex digital methods?
We have decided to seriously look into the issue at Seres-Technologies, by involving some of our customers in the reflection, by setting up a CIFRE thesis on the subject, and by launching a specific research operation.
Modeling project of an energy production system :
In a power plant, whether solar, nuclear or wind, the profitability of the production is highly dependent on the availability of the equipment, and therefore on its reliability, as well as on the speed with which maintenance activities can be carried out (repair time, availability of resources and tools, spare parts, etc.)
Seres-Technologies is working on a model of this type of installation, in order to be able to advise its customers on the best way to invest and make their installations profitable.
Predictive maintenance project
Big Data, machine-learning, data-sciences, behind these buzz-words, how can the business of operational safety and particularly that of failure prediction be assisted today by powerful and promising but complex digital methods?
We have decided to seriously look into the issue at Seres-Technologies, by involving some of our customers in the reflection, by setting up a CIFRE thesis on the subject, and by launching a specific research operation.
DISCOVER OUR OTHER RESEARCH AREAS
In an industry that is constantly changing, where standards and regulations are constantly evolving and where constant monitoring is required, having up-to-date knowledge is a major challenge in terms of competitiveness and regulatory compliance.
