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: […]
Tag Archives: machine learning
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 […]