DiagFit 3.4, for better analysis
DiagFit version 3.4 is here! Discover this new version dedicated to user experience and models performances. The customer experience and consumer pathway are enhanced by A redesigned help path: new help elements have been added to support users at every stage of the path, helping them to make the right choices. A better description of […]
The rise of AI in industry: An energy challenge and a frugal response with DiagFit
Industrial AI and the energy challenge Artificial Intelligence (AI) is experiencing rapid growth in Industry, but this expansion is accompanied by a significant increase in energy consumption. Currently, data centers account for between 1% and 2% of global electricity consumption, a figure that could rise to 3% to 4% by 2030 (source: Deloitte). This increase […]
Trusted AI and Transparency
Building trust in industrial AI Artificial Intelligence (AI) is transforming industry as a whole. It optimizes processes, reduces maintenance costs and improves operational efficiency. However, one major challenge remains : trust. How can you be sure of the relevance of a decision if you’re not sure of the source of the information ? Although the […]
DiagFit 3.2 : analyse and collaborate
DiagFit 3.2 is now available. Discover what is new on this release: Analyze several objects with DiagFit Why opt for multi-object? In an industrial context, data are regularly coming from different equipment, so it may be useful to analyze the specific operating characteristics of each equipment. In-depth understanding: The ability to analyze multiple objects enhances understanding […]
Anomaly detection with no Data Science knowledge is possible with DiagFit
Can you do anomaly detection without any knowledge of Data Science ? We talked about it in another article: anomaly detection is one of the cornerstones of Industry 4.0. This machine learning technology, used in particular in predictive maintenance, is based on a device’s healthy data to build a model of normal operation from which […]
Announcement DiagFit 3.1
Discover DiagFit 3.1, the new version of our software dedicated to industrial time series. We’ve greatly enhanced the user experience thanks to a better performance and an improved user interface. Discover DiagFit’s new features that will help you to optimize your data analyses. Explore and transform your data with our no-code software Find out more […]
Human and Machine Learning in Industry 4.0
Combining human expertise and machine learning: the grail of Industry 4.0 The industry’s fascination with artificial intelligence and machine learning in particular has raised questions about the imminent ascendancy of technology over man. But as these highly sophisticated tools become more widely available, it becomes clear that the prowess of artificial intelligence has little future […]
Optimizing diagnostics and automating maintenance in the aeronautics industry
Optimizing the maintenance of aeronautical equipment is now possible thanks to a combination of Artificial Intelligence, Machine Learning and time series expertise. Discover how DiagFit has enabled equipment manufacturers, maintainers, and users to improve their operational efficiency, through the following 4 use cases. Transmission subsystem Define a wear indicator for a critical component so […]
Exploring the depths of time series: Analysis across 3 dimensions – Time, Sensors, Frequency
Examining time series in the industrial context can sometimes be complex. In a previous article entitled “Analyzing, cleaning and transforming industrial time series“, we discussed how a simple analytics approach, combined with cleaning techniques and the creation of virtual sensors, can extract more value from time series. How can we go even further in data […]
Chalk & Talk: Analysing and transforming industrial time series
