How do you start your project to ensure the best ROI? What data should you choose? What methods should be applied? How can we reconcile industrial constraints with the performance of data science methods to address the targeted issues? The DiagRAMS team answers these questions. Interview with Florent Dewez, Senior Data Scientist, and Hugo Nini, […]
Tag Archives: data science
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 […]
