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 […]

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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