Chalk & Talk: A 3-phase deployment – Phase 3
Analyze, clean and transform industrial time series: from discovery to virtual sensors creation to maximize data utilization
The industry is moving towards more advanced utilization of data from industrial equipment. This data, often in the form of complex time series, requires careful preparation and/or thorough exploration by domain experts. When industrial users embark on analyzing their data to solve a specific problem (such as detecting specific failures, anticipating machine downtime, etc.), they […]
Chalk & Talk: A 3-phase deployment – Phase 2
Chalk & Talk: A 3-phase deployment – Phase 1
Blind failure prediction by Simon Gazikian, CEO of Amiral Technologies during TechInnov 2023
Scientific publication – Sensor fault detection using machine learning applied on acoustic test bench
Article written by Thibaut Le Magueresse, data-scientist at Amiral Technologies, Jérémie Derré and Florent Mercat, Airbus Operations – Acoustics Testing Team Introduction This paper presents a study of sensor fault detection from an acoustic test bench, performed by machine learning. The concerned rig is based on the modal generation and detection principle, aiming at characterizing […]
The importance of time series in the industrial sector
Industry 4.0 sets a major revolution in the modern industrial landscape. This new era is characterized by the integration of connected digital technologies within manufacturing processes, commonly referred to as the Industrial Internet of Things (IIoT). IIoT brings a new dimension of efficiency, flexibility and innovation to industry, paving the way for more efficient production […]
What are the 3 types of industrial maintenance?
Focus on types of industrial maintenance In this article, we will discuss the different types of industrial maintenance used in a production chain. What are the different types of industrial maintenance? Today, in Industry 4.0, challenges are multiplying, particularly regarding equipment safety and maintenance. In this context, production sites must find quick and efficient solutions […]
Predictive maintenance: Labeling anomalies
What you need to know about anomaly labeling Labeling anomalies is a central step in predictive maintenance. Its significance is demonstrated through the complementarity between humans, domain experts, and machines. In this article, explore what anomaly labeling involves and how this crucial step strengthens predictive maintenance. What is anomaly labeling in the context of predictive […]
Maintenance in Air Handling Units
Focus on Air Handling Units’ maintenance Regular maintenance is essential for an air handling unit (AHU). With the assistance of predictive maintenance, industry experts can successfully carry out their interventions. How does maintenance work in air handling units? An air handling unit (AHU) is a vital component of a heating, ventilation, and air conditioning (HVAC) […]
