Maintenance 4.0: thinking through your project for an optimised ROI

Increased reliability, reduced maintenance costs, optimised planning… As we know, the benefits of predictive maintenance are numerous. But where to start? What are the prerequisites to start your project? Which machines should be targeted first and which mistakes should be avoided?  DiagRAMS gives you concrete levers for a successful predictive maintenance strategy.   Predictive maintenance: […]

Artificial intelligence for maintenance

Artificial Intelligence (AI) techniques can be used to provide solutions for monitoring the operating status of industrial equipment. These solutions can both detect phenomena that have already occurred and identify others that are new. Interview with Jean-François Bouin, president and co-founder of DiagRAMS Technologies, which offers a predictive maintenance software solution for the early detection […]

Analysis of temporal dynamics in signals for predictive maintenance: challenges and new methods

Last month, we returned to the foundations of artificial intelligence and its opportunities for a maintenance 4.0 strategy. Let’s go further by deciphering the challenges of temporal dynamics analysis for predictive maintenance. Focus on a new method of analysis of functional categorical data co-developed by DiagRAMS. When will a breakdown occur? When did a drift […]

How DiagRAMS Technologies is revolutionising predictive maintenance

Accelerated in Village by CA over the past two years, DiagRAMS Technologies has been developing predictive maintenance software for industrialists, to predict breakdowns and anomalies on machines. This solution avoids the installation of sensors and provides technicians with a turnkey tool and valuable data to better understand the state of health of the machine park. […]

AI and predictive maintenance, nothing new?

Yes, AI can do a lot, but not just anything or any way! Let’s go back to the basics. We have come a long way from the beginnings of artificial intelligence in the 1930s to the arrival of expert systems in 1980 and Machine Learning algorithms as we know them in 2022! But what has […]

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